From wanling.cai at tcd.ie Sun Oct 1 18:35:52 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Sun, 1 Oct 2023 22:35:52 +0000 Subject: Connectionists: ACM IUI 2024 - Last Call for Papers (Abstracts are due tomorrow) Message-ID: * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://iui.acm.org/2024/call_for_papers.html * ACM IUI 2024: 29th International ACM Conference on Intelligent User Interfaces Greenville, South Carolina, USA March 18-21, 2024 ACM Conference on Intelligent User Interfaces (ACM IUI) 2024 is the 29th annual premiere venue, where researchers and practitioners meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques and systems. In addition to traditional IUI themes, we add this year a new theme of Large Language Models (LLMS) for the people. As LLMs become more powerful and more accessible, end users can interact with them in various ways and a wide variety of new applications become feasible. This raises new research questions regarding the interaction between users and generative AI models, including the design of new interactions and intelligent systems, when to trust systems powered with LLMs, fairness in LLMs, studying the effect of such models on people?s work and aligning user expectations with model capabilities. As always, contributions to IUI are expected to be supported by rigorous evidence appropriate to the claims (e.g., user study, system evaluation, computational analysis). Contributions are welcome from all relevant arenas, including academia, industry, government, and non-profit organizations. We strongly believe that diverse insights are critical to the vitality of the IUI community and the conference will accept papers for both long and short oral presentations. ** Topics ** IUI topics of interest include, but are not limited to: - Usable Large Language Models and Generative AI * End-user interaction with LLMs and Multimodal models (e.g., chatbots, image generation) * LLMs in the workplace * Trustworthy LLMs * Bias in LLMs * The effects of LLMs use on creative tasks * Personalized user interaction with LLMs * Prompt Engineering * User control and steering of LLMs (e.g. RLHF) - Human-centered AI methods, approaches, and systems * Explainable AI methods * Democratization of AI * Persuasive technologies in IUI * Privacy and security of IUI * Knowledge-based approaches to user interface design and generation * User modelling for intelligent interfaces * User-adaptive interaction and personalization * IUI for crowd computing and human computation - Computational innovation * Interactive machine learning * Human-in-the loop AI testing and debugging * Human-centered recommendation and recommender systems * Human-in-the-loop reinforcement learning * Intelligent user interfaces for generative AI - Innovative User Interfaces * Affective interfaces * Intelligent aesthetic interfaces * Intelligent collaborative interfaces * Intelligent AR/VR interfaces * Intelligent visualization and visual analytics * Intelligent wearable and mobile interfaces * Intelligent tangible interfaces - Intelligent Multimodal Systems * Embodied agents * Multimodal AI assistants * Intelligent multimodal interfaces - Evaluations of Intelligent User Interfaces * User experiments and studies * Reproducibility (including benchmarks, datasets, and challenges) * Meta-analysis * Mixed-methods evaluations - Applications IUI * Education and learning-related technologies * Healthcare and wellbeing * Automotive * Assistive technologies * Entertainment * Workplace happiness * Social media * Information retrieval * Internet of things (IoT) * Smart cities * Generative AI ** Papers ** We invite original paper submissions that are not under consideration elsewhere. This year, there is no page limit on the papers (however, we strongly encourage authors to not exceed 10,000 words) and no formal distinction between long and short papers will be made. However, we expect the paper length to be commensurate with the scientific values and contribution of the work. Authors of papers that exceed 12,000 words should add a note at the end of their manuscript explaining how the length of the paper is commensurate with the contribution of the work. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS) special issue titled "Highlights of IUI 2024" that will appear in 2025. All accepted papers will be invited for oral presentation as part of the main conference program. Additionally, all authors of accepted papers are invited to present a poster of their work during the poster session. ** Highlights of this year ** We also encourage authors to discuss potential ethical considerations of their work; aspects pertaining to current societal issues; diversity, inclusion, and equality; and other topics under the broad responsible AI topic. Reflection of practical and societal impact * We encourage authors to consider practical and societal implications of their work (as well as its shortcomings) throughout their projects and to include a reflection on those implications in their papers, in particular how the proposed methods and insights could be applied and deployed in a realistic setting and how they can improve people's lives in the real world. * We also encourage authors to discuss potential ethical considerations of their work in terms of diversity, inclusion, and equality; and other topics under the broad responsible AI topic and its societal impact. We recognize that technology is rarely neutral --- simply by making some things easier than others, it reshapes society (Winner, 1980; Green, 2020). Further, given the incredibly short invention-to-application cycles for AI-related technologies, it is becoming increasingly unlikely that ?somebody else? will carefully consider how an emerging intelligent user interface technology might impact the world before this technology is deployed. Because it is often difficult to anticipate the cumulative or indirect impacts of an invention, we provide a few concrete suggestions to consider throughout the research process and for reflecting on one?s work at the end. * Our purpose is to help authors ensure that the likely societal consequences of their work are consistent with their intentions and values. For colleagues who are not yet experienced with incorporating societal impacts into their IUI research but who are willing to give it a try, we prepared some simple ideas to consider. ** Submission instructions ** Important dates * Abstract submission- Oct 2th, 2023 * Full Submission - Oct 9th, 2023 * Initial decisions released - Dec 14th, 2023 * Rebuttal period (by invitation only)- Dec 14th-20th, 2023 * Notifications sent - Jan 5h, 2024 * Camera Ready submission - Jan 25th, 2024 Platform * All materials must be submitted electronically to PCS 2.0 http://new.precisionconference.com/~sigchi by the abstract and paper deadline. * In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "IUI 2024 Papers", respectively, and press "Go". Anonymization * ACM IUI uses a double-blind review process. All submissions (and supplemental materials) must be appropriately anonymized according to the following guidelines: * Authors? names and affiliations are not visible anywhere in the paper. * Acknowledgements should be anonymized or removed during the review process. * Self-citations should be included where necessary but must use the third person. For example, "... as shown in our previous user study [2] ... " is not allowed, whereas "... as shown in Smith et al. [2] " is acceptable (because in this case the citation [2] will NOT be perceived as self-citation). * Failure to follow these guidelines may result in submissions being desk rejected without review. * Authors should also be aware of the SIGCHI Policy for Submission and Review at SIGCHI Conferences. Accessibility * Authors are asked to make their paper submissions accessible (so that reviewers with vision impairments can access them, for example). The authors of accepted papers will be required to make their final PDFs accessible. Please use the SIGCHI Guide to an Accessible Submission for detailed instructions. * If you are submitting a video as supplemental material, please provide captions, as described in Technical Requirements and Guidelines for Videos. * Please refer to the Accessibility page for further details and guidelines. Submission format and length * We will adopt the ACM TAPS Workflow. * Prepare your submission for review in a single column format, using the latest templates: Word Submission Template, or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. * Papers are of variable length. Paper length must be based on the weight of the contribution. We encourage authors to stay within a 10,000 word limit. Authors of papers exceeding 12,000 words should add a note at the end of their manuscript explaining how the length of the paper is commensurate with the contribution of the work. Supplemental materials * Submitting supplemental material (e.g. questionnaires, demo videos of applications, data sheets) is optional but encouraged. * If supplying a demo video, please follow the SIGCHI Technical Requirements and Guidelines for Videos. Additional Policies * As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Program Chairs * Dorota Glowacka, University of Helsinki * Denis Parra, PUC Chile * Ofra Amir, Technion - Israel Institute of Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From epiasini at sissa.it Mon Oct 2 10:50:57 2023 From: epiasini at sissa.it (Eugenio Piasini) Date: Mon, 2 Oct 2023 14:50:57 +0000 Subject: Connectionists: Postdoc in computational neuroscience at SISSA, Trieste (Italy) Message-ID: A two-year postdoctoral position in computational neuroscience and neural coding is open to investigate the role of hippocampal-dependent memory function in visual perceptual learning. The postdoc will work in Eugenio Piasini's group at the International School for Advanced Studies (SISSA), in close collaboration with Manuela Allegra at the Italian National Research Council (CNR). Ideal candidates for this position should have a keen interest in understanding the neural bases of sensory perception, and a strong background in computational neuroscience or in a related discipline (physics, engineering, mathematics, computer science,...). Good statistical and programming skills are important, and familiarity with statistical modeling methods for large scale neural recordings is a plus. Although this role is focused on a specific project, we are happy to support the development of the postdoc's individual research pursuits. Prospective applicants should contact Eugenio Piasini (epiasini at sissa.it) by email, including a CV, a motivation letter and the contacts of up to two referees. All applications received by 15 November 2023 will be given full consideration; after that (or at any point), please check https://people.sissa.it/~epiasini/openings for updated information on this position. The starting date is flexible, but should ideally be in the first half of 2024. Relevant publications: Choi, Kyuhyun*, Eugenio Piasini*, Edgar D?az-Hern?ndez, Luigim Vargas Cifuentes, Nathan T. Henderson, Elizabeth N. Holly, Manivannan Subramaniyan, Charles R. Gerfen, and Marc V. Fuccillo. 2023. ?Distributed Processing for Value-Based Choice by Prelimbic Circuits Targeting Anterior-Posterior Dorsal Striatal Subregions in Male Mice.? Nature Communications 14 (1): 1920. https://doi.org/10.1038/s41467-023-36795-4. Piasini, Eugenio*, Liviu Soltuzu*, Paolo Muratore, Riccardo Caramellino, Kasper Vinken, Hans Op de Beeck, Vijay Balasubramanian, and Davide Zoccolan. 2021. ?Temporal Stability of Stimulus Representation Increases along Rodent Visual Cortical Hierarchies.? Nature Communications 12 (1): 4448. https://doi.org/10.1038/s41467-021-24456-3. Allegra, Manuela, Lorenzo Posani, Ruy G?mez-Oc?diz, and Christoph Schmidt-Hieber. 2020. ?Differential Relation between Neuronal and Behavioral Discrimination during Hippocampal Memory Encoding.? Neuron 108 (6): 1103-1112.e6. https://doi.org/10.1016/j.neuron.2020.09.032. Runyan, Caroline A.*, Eugenio Piasini*, Stefano Panzeri, and Christopher D. Harvey. 2017. ?Distinct Timescales of Population Coding across Cortex.? Nature 548 (7665): 92?96. https://doi.org/10.1038/nature23020. -- Eugenio Piasini International School for Advanced Studies (SISSA) Via Bonomea 265, 34136 Trieste - Italy https://people.sissa.it/~epiasini From m.biehl at rug.nl Mon Oct 2 23:10:22 2023 From: m.biehl at rug.nl (Michael Biehl) Date: Tue, 3 Oct 2023 05:10:22 +0200 Subject: Connectionists: The Shallow and the Deep Message-ID: Dear Connectionists. My lecture notes "The Shallow and the Deep - A biased introduction to neural networks and old school machine learning" have been published by University of Groningen Press: https://books.ugp.rug.nl/index.php/ugp/catalog/book/130 The book is available as open access e-pub (pdf) and non-profit print-on-demand (softcover) from various sources, see https://www.cs.rug.nl/~biehl/mpubl.html for some links. Best wishes, Michael -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science & Artificial Intelligence P.O. Box 407, 9700 AK Groningen, NL https://www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Oct 3 04:55:03 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 3 Oct 2023 10:55:03 +0200 Subject: Connectionists: Call for Participation COMPLEX NETWORKS 2023 Menton France November 28 - 30, 2023 Message-ID: *12th** International Conference on Complex Networks & Their Applications* *Menton Riviera* *, France *November 28 - 30, 2023 COMPLEX NETWORKS 2023 *Registration:* https://complexnetworks.org/registration/ Early registration deadline: *October 13, 2023* *KEYNOTE SPEAKERS* Michael Bronstein * - *Univ. of Oxford UK - *Physics-inspired Graph Neural Networks* Kathleen Carley - Carnegie Mellon Univ. USA - *Coupling in High Dimensional Networks* Manlio De Domenico Univ. of Padua Italy: *An Emerging Framework for the Functional Analysis of Complex* * Interconnected Systems* Danai Koutra - Univ. of Michigan USA - *Advances in Graph Neural Networks: Heterophily and Beyond* Romualdo Pastor-Satorras - UPC Spain - *Opinion Depolarization in Interdependent Topics and the Effects of Heterogeneous Social Interactions* Tao Zhou - USTC China - *Recent Debates in Link Prediction* *TUTORIALS (November 27, 2023)* Tiago de Paula Peixoto - CEU Vienna Austria - *Network Inference and Reconstruction* Maria Liakata - Queen Mary University of London UK - *Longitudinal language processing from user generated content* Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2023. Hocine Cherifi, Luis M. Rocha COMPLEX NETWORKS 2023 General Chairs Join us at COMPLEX NETWORKS 2023 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science Plos Complex Systems Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihai.constantin84 at upb.ro Tue Oct 3 06:11:29 2023 From: mihai.constantin84 at upb.ro (MIHAI-GABRIEL CONSTANTIN (115317)) Date: Tue, 3 Oct 2023 10:11:29 +0000 Subject: Connectionists: [2nd CFP] Call for Participation: MediaEval Benchmark (register now) Message-ID: Multimedia Evaluation Benchmark (MediaEval 2023) 2nd Call for Participation https://multimediaeval.github.io/editions/2023/ The MediaEval Multimedia Evaluation benchmark offers innovative challenges that are of interests to researchers in the areas of NLP, IR, computer vision, and multimedia. Registration is now open! (Submissions will be due in November.) This year?s tasks are: - Musti: Multimodal Understanding of Smells in Texts and Images https://multimediaeval.github.io/editions/2023/tasks/musti/ - NewsImages: Relating news articles and images https://multimediaeval.github.io/editions/2023/tasks/newsimages/ - Sports Video: Fine Grained Action Classification and Position Detection in Table Tennis and Swimming Videos https://multimediaeval.github.io/editions/2023/tasks/sportsvideo/ - Memorability: Predicting Video Memorability https://multimediaeval.github.io/editions/2023/tasks/memorability/ - Medico: Medical Multimedia Task: Transparent Tracking of Spermatozoa https://multimediaeval.github.io/editions/2023/tasks/medico/ MediaEval places special emphasis on gaining insight into data and algorithms and moving forward the state of the art on tasks that are novel or unexpectedly challenging, due to the nature of the data or to a limited quantity of labels. The overall mission of MediaEval is to support reproducible research that makes multimedia a positive force for society. Results are presented at the next edition of the yearly MediaEval workshop, which will take place in Amsterdam, Netherlands 1-2 February 2024, co-located with the 30th International Conference on Multimedia Modeling, MMM2024 (https://mmm2024.org/). The workshop will provide an opportunity for online participation. Best regards, On behalf of the MediaEval organizers, Gabi Constantin -------------- next part -------------- An HTML attachment was scrubbed... URL: From nagai.yukie at mail.u-tokyo.ac.jp Tue Oct 3 19:34:04 2023 From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp) Date: Tue, 3 Oct 2023 23:34:04 +0000 Subject: Connectionists: CFP - IEEE International Conference on Development and Learning 2024 Message-ID: Dear colleagues, IEEE International Conference on Development and Learning 2024 May 20?23, 2024 Austin, TX, USA Website: https://la.utexas.edu/users/dil/ICDL_Austin_2024/ Deadline for full paper submissions: December 15, 2023 Deadline for 1-page poster abstracts and journal track poster submissions: March 1, 2024 The IEEE International Conference on Development and Learning (ICDL) conference is a unique meeting gathering researchers from computer science, robotics, psychology, neuroscience, and other disciplines to share and discuss research on how humans and other animals learn and develop and how this can inform and be informed by robotics and machine learning systems. Full papers and other submissions are invited on a range of topics including but not limited to: ? Embodied learning and development in biological systems and robots ? Developmental stages and sensitive periods ? Emergence of verbal and nonverbal communication ? Curiosity, intrinsic motivations, exploration, play and active learning ? Architectures for lifelong learning ? Emergence of body and affordance perception ? Learning control of body movement ? Emotional development and the role of emotion in learning ? Prediction, planning, and problem solving ? The relationship between evolution and development ? Epistemological foundations and philosophical issues ? Robotic and computational models of human and animal development ? Developmentally-inspired machine learning ? Human-robot interaction in developmental contexts ? Applications of machine learning to human and animal development Submissions may take the form of full (6-page) papers, 1-page poster abstracts, journal track posters, and workshops or tutorials. Please see below for details on each submission type. Decisions regarding acceptance will be based on technical quality, novelty, and expected interest to the conference?s interdisciplinary audience. In addition to talks and posters originating from these submissions, the conference will feature a keynote speaker as well as several invited symposia showcasing recent research on a set of themes, with different disciplines and perspectives featured, to prompt lively and productive discussion at the conference. [ Submission types ] ? Full six-page paper submissions Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. Up to two extra pages are acceptable for a publication fee of $100 per page. Accepted papers will be invited for presentation either in oral or poster format Please make use of the template provided at https://www.ieee.org/conferences/publishing/templates.html ? 1-page poster abstracts To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 1-page abstracts. These submissions will not be included in the conference proceedings. Accepted abstracts will be presented during the poster session. ? Journal-track posters Journal track poster submissions must be about a journal paper that has been published recently (no earlier than December 2022), on a topic relevant to ICDL. Instructions regarding the online submission system will be posted soon via the conference website. Best regards, Yukie Nagai, on behalf of the organizing committees ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org From cgf at isep.ipp.pt Wed Oct 4 14:46:04 2023 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 4 Oct 2023 19:46:04 +0100 Subject: Connectionists: CFPs: JDSA special isssue on Learning from Temporal data Message-ID: <73c4852d-ef2b-43bb-a9ca-4d38355564e2@isep.ipp.pt> ----------------------------- Learning from Temporal Data ----------------------------- Temporal information is all around us. Numerous important fields, including weather and climate, ecology, transport, urban computing, bioinformatics, medicine, and finance routinely deal with temporal data. Temporal data present a number of new challenges, including increased dimensionality, drifts, complex behavior in terms of long-term interdependence and temporal sparsity, to mention a few. Hence, learning from temporal data requires specialized strategies that are different from those used for static data. Continuous cross-domain knowledge exchange is required since many of these difficulties cut over the lines separating various fields. This workshop aims to integrate the research on learning from temporal data from various areas and to synthesize new concepts based on statistical analysis, time series analysis, graph analysis, signal processing, and machine learning. ----------------------------- Guest editors ----------------------------- Jo?o Mendes-Moreira Joydeep Chandra Albert Bifet ----------------------------- Topics of interest: ----------------------------- Temporal data clustering Classification and regression of univariate and multivariate time series Early classification of temporal data Deep learning for temporal data Learning representation for temporal data Metric and kernel learning for temporal data Modeling temporal dependencies Time series forecasting Time series annotation, segmentation and anomaly detection Spatial-temporal statistical analysis Functional data analysis methods Data streams Interpretable/explainable time-series analysis methods Dimensionality reduction, sparsity, algorithmic complexity and big data challenges Benchmarking and assessment methods for temporal data Applications, including transport, urban computing, weather and climate, ecology, bio-informatics, medical, energy consumption, on temporal data ----------------------------- Important dates: ----------------------------- Submission due date: 17/11/2023 Decision due date: 16/02/2024 Submission of revisions: 15/03/2024 Final decisions: 19/04/2024 Publication date: May 2024 ----------------------------- General inquiry contacts ----------------------------- Jo?o Mendes Moreira (jmoreira at fe.up.pt) ----------------------------- Submission and general inquiries ----------------------------- The JDSA Associate EIC, editorial board, or staff. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From zitao.jerry.liu at gmail.com Thu Oct 5 12:56:40 2023 From: zitao.jerry.liu at gmail.com (Zitao Liu) Date: Fri, 6 Oct 2023 00:56:40 +0800 Subject: Connectionists: Faculty Openings in Guangdong Institute of Smart Education, Jinan University, Guangzhou, China Message-ID: We apologize if you have received multiple copies and have responded --------------------------------------------------------------------- Dear researchers, The Guangdong Institute of Smart Education at Jinan University invites applications for multiple tenure-track faculty positions at all levels (Assistant Professor, Associate Professor, Full Professor). Applications are sought in all areas of Artificial Intelligence, including but not limited to the following areas: machine learning, computer vision, natural language processing, knowledge representation and reasoning, etc. Candidates must have a Ph.D. or its professional equivalent by the starting date of the appointment. Jinan University (JNU, https://english.jnu.edu.cn/) is a public research university based in Guangzhou, China. It is the first Chinese university to recruit foreign students and globally ranked 401-500 by the 2021 Academic Ranking of World Universities. Guangdong Institute of Smart Education (ISE, https://ise.jnu.edu.cn/) established on June 18, 2021, is an academic department of JNU and focuses on integrating AI, education technology, knowledge data mining, and other circuits of CS to push forward the frontiers of CS research for smart education sectors, e.g., AI education evaluation, educational database system, recommendation algorithms for smart education, personalized educating, etc. Salary. JNU offers local competitive salaries for the ISE faculties. Annual salary (300,000-750,000 RMB), start-up research funding (200,000-3,000,000 RMB), settlement funding (200,000-2,000,000 RMB) or housing benefit (for Postdoc), ample laboratory space, excellent research equipment and support, faculty-exclusive resources for healthcare and offspring education will be provided. The deal to distinguished / leading tenured professors will be made according to the further negotiation. Applications. The hiring will be open until the positions are filled. If you are interested in the positions or there is any question, please feel free to contact via osmartedu at jnu.edu.cn (Title format: Name+Degree+the university your graduated or the current vocation). We strongly encourage candidates of diverse backgrounds to apply. ?????????????????????????????????????????????1996??????211??????????2015????????????????2017????????????????????2018?10?24?????????????????????????????????????????????????????????????????????????????????????????13?????ESI?????1%?2021?QS????????????33??2022?2????????????????????? ????????????????????????????????????????????????????2021?6?18?????????-?????????????????????Guangdong Institute of Smart Education???????????????????????????????????????????????5????????????????????????????????????????????????????????????????????????????????????????????? ?????????????????????????????????????? ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ?????????????????????????????????????????????????????????????????????????????????? ???????????? ???????????? 1???????????????????????????????????????????????? 2???????????????????????????????????????????? 3?????????????????????????????????????????????????????????? 4???????????????????3???????????????????? ?????? 1????????/??????? ?????65-140???????? 2?????????? 1??????30-75??????????????????????5??/?????????????????????????10??/?????????????3???????40???? 2???????200??????????????????? 3????????????3?????1.8??/?????2.4??/?????3.6??/?? 3???????? ????????21-38???????17??????? 4???? ?????????????????????????30???????????????????????????????? ???????????????????????? 1?????????????????? 2????????????????? 3??????????????????????? 4???????????????????????? ?????? ?????????????????????????????? ???? ??? (18002230573) E-Mail?bygao at jnu.edu.cn ????????????????601???????????? [image: ??_????????-????.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ??_????????-????.png Type: image/png Size: 5566218 bytes Desc: not available URL: From bernabe.cfp at gmail.com Fri Oct 6 10:40:40 2023 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Fri, 6 Oct 2023 16:40:40 +0200 Subject: Connectionists: CFP OLA'2024 @Dubrovnic Int. Conf. on Optimization & Learning Message-ID: <8112B877-6C2C-40BF-8C54-362C77BADCCD@gmail.com> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2024 International Conference on Optimization and Learning 13-15 May 2024 Dubrovnic, Croatia http://ola2024.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2024 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2024 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 12 pages Important dates: =============== Paper submission deadline Dec 16, 2023 Notification of acceptance Feb 09, 2024 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Fri Oct 6 06:30:04 2023 From: dhansel0 at gmail.com (David Hansel) Date: Fri, 6 Oct 2023 13:30:04 +0300 Subject: Connectionists: Opening Seminar of the fourth season of the Van Vreeswijk Theoretical Neuroscience Seminar on Zoom Message-ID: The *opening* lecture of the fourth season of the VVTNS series will be given by David Kleinfeld, UCSD, on the topic of "Vasomotor dynamics: Measuring, modeling, and understanding the other network in the brain" The lecture will be held on *zoom* on October 11, 2023, at *11:15 am ET * To receive the zoom link please register on the VVTNS web page: wwtns.online *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* > > -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Oct 7 04:44:13 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 7 Oct 2023 10:44:13 +0200 (CEST) Subject: Connectionists: DeepLearn 2024: early registration October 23 Message-ID: <2034350019.1189548.1696668254024@webmail.strato.com> ****************************************************** 11th INTERNATIONAL SCHOOL ON DEEP LEARNING (and the Future of Artificial Intelligence) DeepLearn 2024 Porto ? Maia, Portugal July 15-19, 2024 https://deeplearn.irdta.eu/2024/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************** Early registration: October 23, 2023 ****************************************************** SCOPE: DeepLearn 2024 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, and important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2024 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2024 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. This year?s edition of the school will schedule hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: (to be completed) Jiawei Han (University of Illinois Urbana Champaign), How Can Large Language Models Contribute to Effective Text Mining? PROFESSORS AND COURSES: (to be completed) Luca Benini (Swiss Federal Institute of Technology Zurich), [intermediate/advanced] Open Hardware Platforms for Edge Machine Learning Gustau Camps-Valls (University of Val?ncia), [intermediate] AI for Earth, Climate, and Sustainability Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Introduction to Representation Learning on Graphs Peng Cui (Tsinghua University), [intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Hayit Greenspan (Icahn School of Medicine, Mount Sinai / Tel Aviv University), tba Yulan He (King?s College London), [intermediate/advanced] Machine Reading Comprehension with Large Language Models George Karypis (University of Minnesota), [intermediate] Deep Learning Models and Systems for Real-World Graph Machine Learning Hermann Ney (RWTH Aachen University / AppTek), [intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective Massimiliano Pontil (Italian Institute of Technology), tba Elisa Ricci (University of Trento), tba Laurens van der Maaten (Meta AI), [introductory/intermediate] Introduction to Computer Vision Danxia Xu (National Research Council of Canada) [introductory] Photonic Chips and Artificial Intelligence: An Interplay OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 7, 2024. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. HACKATHON ACTIVITIES: A section of the event will consist of hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. EMPLOYERS: Organizations searching for personnel well skilled in deep learning will be provided a space for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2024/sponsoring/ ORGANIZING COMMITTEE: Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2024/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available at https://deeplearn.irdta.eu/2024/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Sun Oct 8 15:01:36 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Sun, 8 Oct 2023 19:01:36 +0000 Subject: Connectionists: [ACM IUI 2024] Call for Workshops and Tutorials Message-ID: * We apologize if you receive multiple copies of this CfP * ACM IUI 2024 - Call for Workshops and Tutorials In conjunction with the 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ Workshop and Tutorial Co-Chairs Julia Sheidin, Braude College of Engineering, Israel, julia at braude.ac.il Axel Soto, CONICET and Universidad Nacional del Sur, Argentina, axel.soto at cs.uns.edu.ar Eva Zangerle, University of Innsbruck, Austria, eva.zangerle at uibk.ac.at wt2024 at iui.acm.org Call for Proposals We are pleased to invite proposals for workshops and tutorials to be held in conjunction with the conference. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Potential workshop topics should be related to the general theme of the conference. Tutorials are designed to provide fundamental knowledge and experience on topics related to intelligent user interfaces, and the intersection between Human-Computer Interaction (HCI) and Artificial Intelligence (AI). Note: We encourage you to contact the chairs with your ideas (wt2024 at iui.acm.org), and work together to prepare an exciting proposal. We encourage proposals for a wide range of workshop and tutorial formats and activities, including but not limited to: * "Mini-conferences" on specialized topics; such workshops may have their own paper submission and review processes. * Interactive formats to explore a certain topic during the workshop (e.g., through breakout rooms); such workshops may have their own paper submission and review process or target a report summarizing the outcome of the interactive discussions. * "Late breaking work" meetings; such workshops usually have a lighter review process (e.g. based on abstracts only). * "Hands-on" workshops around a specific problem or topic that may wish to ask participants to submit a position statement. * "Project centric" workshops that may be closely related to the scope of an existing large-scale (e.g. NSF, EU, etc. funded) project. * "Mini-competitions", challenges, or hackathons around selected topics with individual or team participation. * Tutorials on a specific topic relevant to IUI; for example, methods and approaches in HCI and/or AI, specific techniques or algorithms to develop intelligent user interfaces, etc. We invite submissions of proposals for full-day and half-day workshops or tutorials. Proposals will be reviewed and evaluated by the workshop and tutorial chairs. Workshops with few submissions may be canceled, shortened, merged with other workshops, or otherwise restructured. The organizers of accepted workshops and tutorials are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the IUI conference community. Workshop and tutorial organizers will maintain their own website with information about the workshop or tutorial and the ACM IUI 2024 website will refer to this website. The workshop organizers will coordinate the paper solicitation, collection, and review process. A workshop and tutorials summary will be included in the ACM Digital Library for ACM IUI 2024, and we will separately publish a joint workshop proceedings for accepted workshop submissions (through CEUR or similar). Proposal Format Workshop or tutorial proposals should be a maximum of four pages long (single-column format). Prepare your submission using the latest templates: Word Submission Template, or the LaTeX template. The proposals should be organized as follows: * Name and title: A one-word acronym and a full title. Please indicate ?(Workshop)? or ?(Tutorial)? after the title, as appropriate. * Description of workshop or tutorial topic: This description should discuss the relevance of the suggested topic to IUI and its interest for the IUI 2024 audience. Include a brief discussion of why and for which audience the workshop or tutorial is of particular interest. * Previous history: List of previous workshops or tutorials that were held on the topic including the conferences that hosted past workshops or tutorials and the number of participants. * Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organizer(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. Also please provide a list of other workshops or tutorials organized by workshop organizers in the past. * Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. * Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop or tutorial. If possible, include the names of at least 10 people who have expressed interest to participate in the workshop or tutorial. * Workshop or Tutorial activities: A brief description of the format regarding the mix of events or activities, such as paper presentations, invited talks, panels, demonstrations, teaching activities, hands-on practical exercises, general discussion. Please also list here any material you will make available to tutorial participants, e.g. slides, access to hardware/software, handouts, etc. * Workshop format: virtual, in-person, or hybrid. * Planned outcomes of the workshop or tutorials: What are you hoping to achieve by the end of the workshop or tutorials? Please list here any planned publications or other outputs arising from workshops. * Length: Full-day or half-day. Important Dates ? Discuss your topic with the workshop and tutorials chairs: Oct 9, 2023 ? Workshop Proposals due: Oct 16, 2023 ? 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URL: From junfeng989 at gmail.com Mon Oct 9 00:31:00 2023 From: junfeng989 at gmail.com (Jun Feng) Date: Mon, 9 Oct 2023 12:31:00 +0800 Subject: Connectionists: Special Issue on Recent Advances in Security, Privacy, and Trust [Five Journals: Electronics; Journal of Cybersecurity and Privacy; Mathematics; Remote Sensing; Sustainability] Message-ID: Call for Papers: [Electronics (IF: 2.9); Journal of Cybersecurity and Privacy; Mathematics (IF: 2.4); Remote Sensing (IF: 5.0); Sustainability (IF: 3.9)] Topic on Recent Advances in Security, Privacy, and Trust The full call for papers is available on the official website: https://www.mdpi.com/topics/ELY82W061L ================== Participating Journals ================== - Electronics (SCIE, IF=2.9) - Journal of Cybersecurity and Privacy - Mathematics (SCIE, IF=2.4) - Remote Sensing (SCIE, IF=5.0) - Sustainability (SCIE, IF=3.9) ================== Paper Submission ================== All papers need to be submitted electronically through the website: https://www.mdpi.com/topics/ELY82W061L ================== Important Dates ================== Abstract submission deadline: 31 October 2025 Manuscript submission deadline: 31 December 2025 ================== Topic Information ================== The proliferation of information, communication, and computer technologies has brought us into the realm of cyber-physical-social system (CPSS). CPSS comprises of the cyber space, physical space and social space, and their integration such as cyber-physical system (CPS), Internet of Thing (IoT), social computing system, and even the system integrating all three spaces. Recently, CPSS has brought enormous opportunities that have significantly influenced applications. However, there are increasing security, privacy, and trust concerns such as exposure of user privacy and business information in CPSS. Although theories and technologies about security, privacy, and trust have been widely studied and applied in recent years, existing methods are still insecure, impractical or inefficient. To address these challenges, this topic solicits the latest research outcomes and developments on security, privacy, and trust. The topics of interest include, but not limited to the following: - Privacy-enhancing technologies - Privacy-preserving/secure/trust data analysis and processing - Network security, privacy, and trust - Differentially private data analysis - Sustainable security, privacy, and trust - Economics of security, privacy, and trust - Blockchain and its applications - IoT/CPS/CPSS security, privacy, and trust - Security, privacy, and trust in edge/fog/cloud computing - AI/Machine learning security - Federated learning - System security - Hardware security - Web security, privacy, and trust - Big data, artificial intelligence for security, privacy, and trust - Digital twin security, privacy, and trust - Cryptographic techniques, cryptographic protocols ================== Topic Editors ================== - Dr. Jun Feng Huazhong University of Science and Technology, China Email: junfeng989 at gmail.com Website: http://faculty.hust.edu.cn/fengjun6/en/ - Dr. Changqing Luo Virginia Commonwealth University, USA Email: cluo at vcu.edu Website: http://www.people.vcu.edu/~cluo/ - Dr. Mamoun Alazab Charles Darwin University, Australia Email: mamoun.alazab at cdu.edu.au Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com Website: http://faculty.hust.edu.cn/fengjun6/en/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at usp.br Sun Oct 8 19:14:58 2023 From: antonior at usp.br (Antonio Roque) Date: Sun, 8 Oct 2023 20:14:58 -0300 Subject: Connectionists: LASCON 2024 - IX Latin American School on Computational Neuroscience (Call for applications) Message-ID: **** Apologies for cross-posting **** IX Latin American School on Computational Neuroscience - LASCON 2024 January 8 - February 2, 2024, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon-ix APPLICATION DEADLINE: October 14, 2023 SECOND ANNOUNCEMENT Dear Colleagues, After the hiatus of the pandemic, I am pleased to announce that the 9th edition of the Latin American School on Computational Neuroscience (LASCON 2024) will take place January 8 - February 2, 2024 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These subjects will be taught via theoretical classes and hands-on tutorials with the use of the programs NEURON, NetPyNE, NEST, Brian, The Virtual Brain and others. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, University of Strasbourg, Strasbourg, France Demian Battaglia, University of Strasbourg, Strasbourg, France Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Dartmouth College, Hanover, NH, USA Junji Ito, Juelich Research Center, Juelich, Germany Lyle Muller, Western University, London, Ontario, Canada Marja-Leena Linne, Tampere University, Tampere, Finland Mauricio Girardi-Schappo, Federal University of Santa Catarina, Florianopolis, SC, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Sonja Gruen, Juelich Research Center, Juelich, Germany Tilo Schwalger, Technical University of Berlin, Berlin, Germany Valeriy Bragin, State University of New York, New York, NY, USA William Lytton, State University of New York, New York, NY, USA The number of students is limited to 40 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon-ix). Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 14, 2023 (until midnight, US Pacific time). There is no registration fee for the school. Depending on available funding, the school organization may provide free accommodation for students not from the Greater Sao Paulo area. Travel costs will have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2024 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/). I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior at usp.br aroquesilva at gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 ResearcherID: C-2316-2011 Google Scholar: GqHWF74AAAAJ CV Lattes: 4609096963207702 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomc at cs.ru.nl Mon Oct 9 09:12:45 2023 From: tomc at cs.ru.nl (Tom Claassen) Date: Mon, 9 Oct 2023 15:12:45 +0200 Subject: Connectionists: PhD position in Causal Time-series Analysis for Ecology (1.0 FTE, 4 yrs) Message-ID: =========================================================== PhD position in Causal Time-series Analysis for Ecology (1.0 FTE, 4yrs.) Institution : Radboud University Nijmegen, Netherlands Keywords : causal discovery, ecological modelling, machine learning, time-series analysis Application deadline : 27 October 2023 Website : https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-novel-methods-to-understand-animal-movement =========================================================== Summary Are you interested in applying new machine learning methods and process-based models to understand how humans are impacting biodiversity? Come work with us to develop and apply new causal methods to ecological data to uncover interactions between animal movement, vegetation, climate and human activities, with implications for ecosystem processes. Description We are currently experiencing a biodiversity crisis and one of the main drivers is human activities. As human activities expand, animal behaviour is being altered. One behaviour that is drastically affected is animal movement. Animal movement is an important process determining the fate of individuals and shaping the structure and dynamics of populations and ecosystem processes. Therefore, changes in movement will have wide-ranging ecological consequences. In this project you will apply modern causal discovery algorithms for time-series data and process-based ecological modelling to examine the mechanisms of animal movement and explore ecosystem consequences of altered animal behaviour due to human pressures such as agricultural land conversion. This will involve the analysis of empirical animal movement data, environmental data, human pressure data, and species traits to explore interactions between animals and their surroundings. We are: The project is a collaboration between the Environmental Science cluster at the Radboud Institute for Biological and Environmental Sciences (RIBES), and the Data Science group of the Institute for Computing and Information Sciences (iCIS), both part of the Faculty of Science at the Radboud University. You will be working in both groups, at the interface of ecology and machine learning. The mission of the Environmental Science research cluster of Radboud University is to provide high-quality scientific knowledge that can be used to help people move towards a more sustainable society. To achieve this, we aim to understand, project and address the impact of anthropogenic pressures on ecosystems and humans, from the landscape to the global scale. The Data Science group within iCIS aims to develop theory and methods for scalable machine learning and information retrieval to address challenging problems in science and society. The group's main research foci are: the design and understanding of deep / causal machine learning methods, modern information retrieval / big data, and computational immunology, each with a keen eye on applications in other scientific domains as well as industry. Both groups strongly promote an open, inclusive and supportive work environment. What we expect from you: You have an MSc degree in natural science, ecology, computer science, or a related discipline. You are open-minded, with a strong interest in multidisciplinary research, especially on the interface between machine learning and ecology. You are highly motivated to perform scientific research and obtain a PhD degree. As you will be working in two different research groups, you need to be flexible, communicative and able to work in a multidisciplinary team. For more information about this vacancy and details on how to apply, see the website (above), or contact: * Dr Marlee Tucker, e-mail: marlee.tucker at ru.nl (RIBES) * Dr Tom Claassen, tel: +31 24 3652019, e-mail: tom.claassen at ru.nl (iCIS) =========================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Mon Oct 9 10:13:47 2023 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Mon, 9 Oct 2023 16:13:47 +0200 Subject: Connectionists: Next SIPTA seminars (3pm Paris time): 18th October (statistical validity), 28th November (Causality), 12th December (Robust optimisation) Message-ID: <0B33C66E-88C5-4D8C-A67B-87CCE2FFC7AE@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming SIPTA online seminars on imprecise probabilities (IP) for the next 3 months, so that you can book the associated time slots. These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. All seminars will be at 3pm Paris time. The seminars are the following: * On the 18th October, Ryan Martin (Department of Statistics, North Carolina State University) will talk about "Falsification, Fisher's underworld of probability, and balancing behavioral & statistical reliability? * On the 28th November, Alessandro Antonucci (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, IDSIA) will talk about ?Structural Causal Models are (Solvable by) Credal Networks? * On the 12th December, Daniel Kuhn (College of Management of Technology at EPFL) will talk about ?On the Interplay of Optimal Transport and Distributionally Robust Optimization? For moire details, you can check out the abstract and zoom link details on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. Best regards Enrique, Jasper and S?bastien From frank.tong at vanderbilt.edu Mon Oct 9 10:38:50 2023 From: frank.tong at vanderbilt.edu (Tong, Frank) Date: Mon, 9 Oct 2023 14:38:50 +0000 Subject: Connectionists: Postdoctoral position to develop robust AI-based models of human vision and object recognition abilities Message-ID: <107E7ED9-3431-42E2-BB1C-794FEA405255@vanderbilt.edu> Dr. Frank Tong?s lab at Vanderbilt University seeks to recruit 1 or more postdoctoral fellows to develop and test new deep neural network (DNN) models to better capture the robustness of the human visual system and its ability to recognize highly challenging object images. This work, supported by a newly funded NIH R01 grant, will leverage state-of-the-art AI methods and models, high-field fMRI at 7 Tesla, and advanced psychophysical and computational methods to characterize human behavioral and neural responses to complex visual stimuli. Candidates should have a PhD with expertise in one of more of the following areas: visual psychophysics, object recognition, image processing and analysis, computational modeling and/or deep learning. Candidates should be fluent and versatile at coding in MATLAB and/or Python, ideally with a background in neuroscience, psychology, mathematics, data science, computer science or biomedical engineering. We seek individuals who enjoy working on challenging problems with enthusiasm and creative rigor in a collaborative, synergistic research environment. This position is open to both US citizens and foreign nationals. Start date is flexible. For more information about the lab, see: http://www.psy.vanderbilt.edu/tonglab/web/Home.html Dr. Tong strives to maintain a diverse scientific team; we therefore seek applications from qualified individuals from all demographics and backgrounds. Applicants should send a short cover letter, CV, and the names and contact information of three references to frank.tong at vanderbilt.edu. From antona at alleninstitute.org Tue Oct 10 01:59:23 2023 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 10 Oct 2023 05:59:23 +0000 Subject: Connectionists: Scientist position at the Allen Institute Message-ID: Dear Colleagues, A Scientist position is open at the Allen Institute in the area of biologically realistic modeling. Please see the job description here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2773735 The Scientist will participate in our efforts to develop bio-realistic simulations at multiple levels: from neurons, to brain areas, to whole brains. These efforts leverage our multimodal datasets on the composition, connectivity, and in vivo activity of the mouse brain. The goal is to study the cell type and circuit mechanisms of brain computations and dynamics. Please consider applying and reach out if you have any questions. I and members of my group are attending the SfN meeting and will be happy to talk with potential applicants there. Best wishes, Anton Arkhipov Investigator Allen Institute Seattle, WA antona at alleninstitute.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmanzoni at units.it Mon Oct 9 18:26:24 2023 From: lmanzoni at units.it (MANZONI LUCA) Date: Mon, 9 Oct 2023 22:26:24 +0000 Subject: Connectionists: [Last CFP] EuroGP 24 - the 27th European Conference on Genetic Programming Message-ID: <4E8AB50A-6353-4671-83F8-5C444C2ED3E6@units.it> *** Apologies for cross-posting *** ********************************************************************************* Last Call for Papers: EuroGP 24 - the 27th European Conference on Genetic Programming https://www.evostar.org/2024/eurogp/ 3-5 April 2023, Aberystwyth, Wales, UK held as part of EvoStar (http://www.evostar.org) ** EuroGP is CORE Rank B ** Submission deadline: November 1, 2023 ********************************************************************************* EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide explicitly devoted to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. **** EvoStar **** EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences: EuroGP, EvoApplications, EvoCOP, and EvoMUSART. **** Topics **** Topics to be covered include, but are not limited to: Algorithms, representations, and operators for GP Innovative applications of GP Tree-based, linear, graph-based, and grammar-based GP Theoretical developments GP performance, behavior, and benchmarking Multiple populations, coevolution, and modularity in GP Multi-objective GP Explainability and interpretability in GP Genetic improvement programming GP for software engineering GP for continuous control and evolutionary robotics Evolutionary design Evolvable hardware Parallel GP Unconventional GP Hybridization of GP with other methods **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer-reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 14 pages plus references Submission link: https://easychair.org/conferences/?conf=evo2024 The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera ready version of their manuscripts The authors of accepted papers will have to improve their papers on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference and present the work. The highest quality papers may also be invited to submit extensions for publication in a special issue of a prestigious international journal. **** Organization **** Program Chairs: Mario Giacobini, University of Torino, Italy Bing Xue, Victoria University of Wellington, New Zealand Publication Chair: Luca Manzoni, University of Trieste, Italy For further information please visit https://www.evostar.org/2024/eurogp/ Bing Xue and Mario Giacobini EuroGP PC Chairs From cls at is.mpg.de Tue Oct 10 03:19:15 2023 From: cls at is.mpg.de (CLS Coordinator) Date: Tue, 10 Oct 2023 09:19:15 +0200 Subject: Connectionists: Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems Message-ID: <41BF1EF6-C70F-4758-8160-10B57A0EE917@is.mpg.de> Apply to do your Ph.D. in our joint academic program between ETH Zurich, Switzerland and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems in Stuttgart / Tuebingen, Germany. We are currently accepting applications to join our program in 2024. In our fully-funded doctoral fellowship program, Ph.D. students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart / Tuebingen, Germany). All Ph.D. fellows will register as graduate students at ETH Zurich and, upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. Applicants must hold or expect to obtain an excellent degree at Masters level in a relevant subject and should have a strong interest in basic research in areas such as: Bio-inspired / Bio-hybrid Robotics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Digital Humans, Earth Observation, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Micro- and Nano-Robotics, Natural Language Processing , Neuroinformatics, Optimization, Perceptual Inference, Probabilistic Models, Reinforcement Learning, Robotics, Security and Privacy, Social Questions, Soft Robotics, Statistical Learning Theory. Faculty participating in this call include: Afonso Bandeira, Antonio Orvieto, Bernhard Schoelkopf, Bernt Schiele, Celestine Mendler-Duenner, Christian Holz, Christoph Keplinger, David Steurer, Fisher Yu, Florian Tramer, Florian Doerfler, John Lygeros, Jonas Geiping, Konrad Schindler, Marc Pollefeys, Michael Muehlebach, Moritz Hardt, Mrinmaya Sachan, Niao He, Robert Katzschmann, Ryan Cotterell, Samira Samadi, Siyu Tang, Thomas Hofmann, Wieland Brendel. We value diversity at our institutions. Anyone ? of any gender identity, nationality or background - who meets our academic requirements is encouraged to apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. Apply via our online application portal at https://learning-systems.org/apply. Deadline for the application: midnight (23:59 CET) on November 15, 2023. -------------- next part -------------- An HTML attachment was scrubbed... URL: From RoigNoguera at em.uni-frankfurt.de Tue Oct 10 05:23:55 2023 From: RoigNoguera at em.uni-frankfurt.de (Gemma Roig) Date: Tue, 10 Oct 2023 11:23:55 +0200 Subject: Connectionists: Open position of Professor (W1, tenure track) of Machine Learning of World Models at Goethe University Frankfurt am Main Message-ID: Goethe University Frankfurt am Main invites applications for the position of Professor (W1, tenure track) of Machine Learning of World Models in the Institute of Computer Science at the Faculty of Computer Science and Mathematics. This civil servant or public employee position will start as soon as possible. This professorship is funded by the Tenure Track Programme of the German Federal Government and the Federal States. It is a tenure-track position for an initial six-year term. If tenure is approved at the end of the term, the position will be made permanent and promotion to the rank of Full Professor (W2) will be granted. This position is open to individuals in the early stages of their academic career. We are seeking for a candidate widely recognized for excellent research in one or several of the research areas Machine Learning Systems, Simulation, Augmented and Virtual Reality, Cognitive and Computational Neuroscience, as well as applications to complement our current team. We expect the candidate to have finished a doctorate (with grades at least 'very good') and to possess an excellent track record of scientific publications. The professorship is embedded in the attractive research landscape in Frankfurt within and outside the university (see https://www.goethe-university-frankfurt.de/118903280/). There are intensive collaborations with the Excellence Cluster Cardio Pulmonary Institute (CPI), the Ernst Str?ngmann Institute for Neuroscience and other research institutions both within and outside the university. Experience in the acquisition of third-party funded projects is desired. The ability to connect to the research topics of the Institute of Computer Science, the research priorities of the faculty and the research profile of Goethe University and the willingness to cooperate with other research teams within the faculty and university are required. We expect the candidate to represent his/her teaching subject in the undergraduate programs of the Institute of Computer Science. Upon positive tenure evaluation, a substantial participation in the basic courses in programming is also expected. Appropriate participation in academic self-administration is expected. The formal hiring requirements are defined in Sections 67, 68, and 70 of the Hessian Higher Education Act (Hessisches Hochschulgesetz). Goethe-University is an equal opportunity employer, committed to diversity and inclusion. In particular, we are welcoming applications by qualified women and people with a migrant background. At Goethe-University, a special emphasis is placed on creating and sustaining a family-friendly work and research environment. Where applicants are otherwise equally qualified, preference is given to candidates with disabilities or equivalent. The same applies to women in fields in which they are under-represented. To apply, please send a CV, a list of publications, an overview of your research and teaching activities as well as transcripts and a selection of recent course evaluations as a single PDF document by 30 November 2023 to application at fb12.uni-frankfurt.de . If you have any questions, please contact the Director of the Institute, Prof. Dr. Visvanathan Ramesh at vramesh at em.uni-frankfurt.de . Further information about the appointment process, the legal framework and data protection: www.professorship-vacancies.uni-frankfurt.de . -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Oct 10 08:54:08 2023 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 10 Oct 2023 15:54:08 +0300 Subject: Connectionists: REMINDER: Wednesday, October 11, 2023. Opening Seminar of the fourth season of the Van Vreeswijk Theoretical Neuroscience Seminar on Zoom Message-ID: The *opening* lecture of the fourth season of the VVTNS series will be given by David Kleinfeld, UCSD, on the topic of "Vasomotor dynamics: Measuring, modeling, and understanding the other network in the brain" The lecture will be held on *zoom* on October 11, 2023, at *11:15 am ET * To receive the zoom link please register on the VVTNS web page: wwtns.online *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* *The organizers of the VVTNS express their abhorrence of the barbaric attack on Israeli civilians that took place on 7 October 2023. We wish to express our support of the Israeli neuroscience community in this dark and frightening time.* *?* -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From diochnos at ou.edu Tue Oct 10 19:06:24 2023 From: diochnos at ou.edu (Diochnos, Dimitrios) Date: Tue, 10 Oct 2023 23:06:24 +0000 Subject: Connectionists: ISAIM 2024: Submission Deadline Extended Message-ID: SUBMISSION DEADLINE EXTENSION Eighteenth International Symposium on ARTIFICIAL INTELLIGENCE and MATHEMATICS ISAIM 2024 https://isaim2024.cs.ou.edu/ January 8-10, 2024 Fort Lauderdale, Florida (NEW) PAPER SUBMISSION DEADLINE: Tuesday, October 17, 2023 The International Symposium on Artificial Intelligence and Mathematics (ISAIM) is a biennial meeting that fosters interactions between mathematics, theoretical computer science, and artificial intelligence. This is the fifteenth Symposium in the series, which is sponsored by Annals of Mathematics and Artificial Intelligence. We seek submissions of recent results with a particular emphasis on the foundations of AI and mathematical methods used in AI. Papers describing applications are also encouraged, but the focus should be on principled lessons learned from the development of the application. Traditionally, the Symposium attracts participants from a variety of disciplines, thereby providing a unique forum for scientific exchange. The three-day Symposium includes invited speakers, presentations of technical papers, and special topic sessions. SPECIAL TOPIC INVITED SESSIONS: o Boolean and pseudo-Boolean Functions -Organized by Endre Boros, Rutgers University, and Yves Crama, University of Liege o Alternative Models for Fairness in AI -Organizers: John Hooker, Tae Wan Kim, and Derek Leben, Carnegie Mellon University o Deep Reinforcement Learning Workshop: Bridging Theory and Practice -Organized by Abhishek Gupta, University of Washington, and Zhaorang Wang, Northwestern University PAPER SUBMISSION: Paper submission will be electronic via the submission link to OpenReview on the Paper Submission page of the Symposium website (https://isaim2024.cs.ou.edu/). Papers must be formatted in accordance with the guidelines given there. The new submission deadline is Tuesday, October 17, 2023 (11:59PM PDT). Papers will be reviewed by members of the Program Committee. Authors will be notified of acceptance or rejection by Monday, November 13, 2023 (extended). Final versions of accepted papers, for inclusion in the conference electronic proceedings, are due by Wednesday, November 29, 2023. Work that will have been published as of January 2024 should not be submitted to ISAIM unless it introduces a significant addition to the previously published work. However, the ISAIM web site proceedings are not archival, so papers submitted to ISAIM can be under review at the time of submission and can be submitted elsewhere after ISAIM. Authors of a selected set of papers from the Symposium will be invited to submit full versions of their papers for inclusion in a special volume of the Annals of Mathematics and Artificial Intelligence, published by Springer. Those invited submissions will be subject to refereeing at the usual standards of the journal, and authors will receive more details with the acceptance notice. Papers must of course be new and unpublished to be considered for the special volume. Any questions regarding paper submission should be sent to the Program Committee Chairs (Claudio Gentile and Aldo Pacchiano) at the email address . IMPORTANT DATES: Paper submission: Tuesday, October 17, 2023 (extended) Notification: Monday, November 13, 2023 (extended) Final version due: Wednesday, November 29, 2023 Workshop: January 8-10, 2024, Ft. Lauderdale, Florida ORGANIZERS: o General Chair: Martin Charles Golumbic, University of Haifa o Conference Chair: Frederick Hoffman, Florida Atlantic University o Program Committee Chairs: Claudio Gentile, Google Research, New York Aldo Pacchiano, Boston University o Local Organizer: Maria Provost, Florida Atlantic University o Publications & Publicity Chair: Dimitrios I. Diochnos, University of Oklahoma Join isaim at googlegroups.com to receive announcements related to ISAIM. From tomas.hromadka at gmail.com Tue Oct 10 17:02:06 2023 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Tue, 10 Oct 2023 23:02:06 +0200 Subject: Connectionists: COSYNE 2024: Call for Workshop Proposals; Call for Abstracts Message-ID: <4db7a1b7-0e09-4946-bf29-cd7b7318b875@gmail.com> ==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal submission deadline: 10 November 2023 Abstract submission deadline: 19 November 2023 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 19 November 2023. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Cascais, Portugal. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years?) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) WORKSHOP FULL PROPOSALS - Deadline 10 November 2023 To submit your Cosyne 2024 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2024 WORKSHOP CHAIRS SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE 2024 COMMITTEES ----------------------------------------------------- COSYNE ORGANIZING COMMITTEE General Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Champalimaud) Poster Design: Maja Bialon COSYNE PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Timothy Buschman (Princeton) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) COSYNE EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) COSYNE CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details. From jose at rubic.rutgers.edu Wed Oct 11 08:34:16 2023 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Wed, 11 Oct 2023 12:34:16 +0000 Subject: Connectionists: POSTDOCTURAL JOBS at RUTGERS Message-ID: Please see enclosed flyer advertising two jobs at RUTGERS Two Postdoctoral Openings at Rutgers in Aging & Alzheimer's Research: (1) Brain Imaging (fMRI, EEG), (2) Machine Learning/AI Data Analytics -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PostdocAdvertRutgersGluck(Oct2023)final.pdf Type: application/pdf Size: 107715 bytes Desc: PostdocAdvertRutgersGluck(Oct2023)final.pdf URL: From cgf at isep.ipp.pt Wed Oct 11 06:19:44 2023 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 11 Oct 2023 11:19:44 +0100 Subject: Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2024 (Extended deadline: October 13, 2023) Message-ID: <0132fb7f-2593-4870-b01b-fb286240ecbf@isep.ipp.pt> *ACM Symposium on Applied Computing * The 39th ACM/SIGAPP Symposium on Applied Computing in Avila, Spain April 8 ? April 12, 2024 https://www.sigapp.org/sac/sac2024/ *Data Streams Track * https://abifet.github.io/SAC2024/ *Call for Papers * The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. *TOPICS OF INTEREST * We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to: * Real-Time Analytics * Big Data Mining * Data Stream Models * Large Scale Machine Learning * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian Networks from Data Streams * Neural Networks for Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining * Urban Computing, Smart Cities * Internet of Things (IoT) * IMPORTANT DATES * 1. Submission deadline (Extended): October 13, 2023 2. Notification deadline: November 17, 2023 3. Camera-ready deadline: December 15, 2023 Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From g.goodhill at wustl.edu Thu Oct 12 11:17:06 2023 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Thu, 12 Oct 2023 15:17:06 +0000 Subject: Connectionists: Postdoc position in sleep modeling/analysis Message-ID: POSTDOC POSITION IN MODELING/ANALYSIS FOR UNDERSTANDING SLEEP OVERVIEW. An NIH-funded collaboration between David Prober (Caltech), Thai Truong (USC) and Geoff Goodhill (Washington University in St Louis) aims to gain new insight into the neural circuits underlying sleep, through a combination of whole-brain neural recordings in zebrafish and theoretical/computational modeling. A postdoc position is available in the Goodhill lab to contribute to the modeling and computational analysis components. PROJECT DETAILS. Using novel 2-photon imaging technologies Prober and Truong are recording from the entire larval zebrafish brain at single-neuron resolution continuously for long periods of time, examining neural circuit activity during normal day-night cycles and in response to genetic and pharmacological perturbations. The Goodhill lab is analyzing the resulting huge datasets using a variety of sophisticated computational approaches, and using these results to build new theoretical models that reveal how neural circuits interact to govern sleep. APPLICANT PROFILE. Applicants should have a strong background in mathematics/theory/computation applied to biological problems. Experience in analyzing sleep processes is desirable but not required. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. The lab both performs its own behavioral and neural imaging experiments with larval zebrafish, and collaborates on the analysis of data generated elsewhere. UNIVERSITY ENVIRONMENT. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in neuroscience. The Goodhill lab has recently moved into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building). For more information about St Louis see https://explorestlouis.com. To apply please send a detailed CV and cover letter explaining your interest in the positions to g.goodhill at wustl.edu. Review of applications will continue until the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill at wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd -------------- next part -------------- An HTML attachment was scrubbed... URL: From justyna.zwolak at nist.gov Thu Oct 12 06:08:38 2023 From: justyna.zwolak at nist.gov (Zwolak, Justyna P. (Fed)) Date: Thu, 12 Oct 2023 10:08:38 +0000 Subject: Connectionists: XAI4Science workshop announcement In-Reply-To: References: Message-ID: Dear Colleagues, We would like to bring to your attention that we are organizing the XAI4Sci: Explainable machine learning for sciences workshop at the upcoming 38th AAAI Conference on Artificial Intelligence (AAAI-24) meeting (to be held in person in Vancouver, Canada). The event will take place on February 26, 2024. The XAI4Sci workshop aims to bring together a diverse community of researchers and practitioners working at the interface of science and machine learning to discuss the unique and pressing needs for explainable machine learning models in support of science and scientific discovery. These needs include the ability to (1) leverage machine learning as a tool to make measurements and perform other activities in a manner comprehensible to and verifiable by the working scientists, and (2) enable scientists to utilize the explanations of the machine learning models in order to generate new hypotheses and to further knowledge of the underlying science. For more information about the workshop as well as the workshop proceedings please refer to the workshop website. Please, feel free to share this announcement with students, postdocs, and with colleagues who might be interested in the event. We attach to this email the ?Call for participation? describing the event in more detail as well as ?Call for papers.? Please, let us know if you have any questions. Sincerely, Justyna Zwolak (NIST), Craig Greenberg (NIST), and Rich Caruana (Microsoft) -------------- next part -------------- An HTML attachment was scrubbed... URL: From tanya.brown at ae.mpg.de Fri Oct 13 03:46:02 2023 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Fri, 13 Oct 2023 07:46:02 +0000 Subject: Connectionists: Mindvoyage | Dacher Keltner on Nov 30 @ 16:00 CET Message-ID: <7B09F5C0-11E5-483C-8CF1-7287E5094905@ae.mpg.de> [cid39042*image001.png at 01D9FDB7.DAAA0BC0] The Mindvoyage lecture series features prominent scholars from different disciplines including the humanities, biology, neuroscience and physics. Talks are dedicated to engaging in discussions related to novel, distinct and often controversial topics. The next talk will feature Dacher Keltner on November 30, 2023 @ 16:00 CET Free | Hybrid event | All are welcome | Registration required CLICK HERE TO REGISTER [cid39042*image002.png at 01D9FDB7.DAAA0BC0] Abstract The Science of Awe: Evolution, Culture, and Self-Transcendence In this talk I will chart the new science of awe. I will consider its deep mammalian origins and how it manifests in cultural processes like music, visual design, and spirituality and conceptions of the divine. Grounded in this understanding, I will consider what has been learned in terms of awe's influences upon self-representation, cognition, and physiology. Bringing these lines of evidence together, I will argue that awe is a self-transcendent emotion, which emerged in human evolution to enable individuals to fold into social collectives and to see the systems they are part of. Registration Link https://tinyurl.com/485npkts Hosted by Lucia Melloni and Tanya Brown from the Max Planck Institute for Empirical Aesthetics, on behalf of the ARC-COGITATE Consortium [cid39042*image003.png at 01D9FDB7.DAAA0BC0] My working hours may not be yours, respond in your own time Tanya Brown Scientific Project Manager, ARC-COGITATE Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14, 60322 Frankfurt am Main, Germany Tel.: +49 69 83 00 479 385 www.aesthetics.mpg.de tanya.brown at ae.mpg.de [signature_3036594910] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 574778 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 1761238 bytes Desc: image002.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.png Type: image/png Size: 11442 bytes Desc: image003.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.png Type: image/png Size: 14328 bytes Desc: image004.png URL: From dthakur at cdt.org Fri Oct 13 08:40:15 2023 From: dthakur at cdt.org (Dhanaraj Thakur) Date: Fri, 13 Oct 2023 08:40:15 -0400 Subject: Connectionists: Job opening - Research Fellow - Center for Democracy & Technology Message-ID: <86498b91-202f-4b29-884c-638ece111573@cdt.org> Hi everyone, We have a job opening for a newly created position at CDT. This is for a Research Fellow to help lead a new project that examines how content moderation systems, including the application of artificial intelligence tools, operate in non-English contexts, particularly in ?low resource? and indigenous languages of the Majority World (Global South). This is a great opportunity to produce research that can inform tech policy around the world. The position is full-time for two-years, with the possibility of renewal based on performance and availability of funds. The Fellow will be based at CDT?s Washington, D.C. office, which operates on a hybrid schedule. Applications are accepted on a rolling basis, so those interested should apply as soon as possible. You can find more details and application instructions here: https://cdt.org/job/research-fellow/ thanks, Dhanaraj -- *Dhanaraj Thakur* (he/him) | Research Director Center for Democracy & Technology |*cdt.org * *E:* dthakur at cdt.org | *P:*?+1 202 407 8849 -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Fri Oct 13 08:51:24 2023 From: kc.w at cityu.edu.hk (Prof. WONG Ka Chun) Date: Fri, 13 Oct 2023 12:51:24 +0000 Subject: Connectionists: PostDoc / RA recruitment in Neural Network / Computational Intelligence / Evolutionary Computation at City University of Hong Kong Message-ID: Dear Sir/Madam, I am writing for a PostDoc / RA recruitment in Neural Network / Computational Intelligence / Evolutionary Computation at City University of Hong Kong. A suitable candidate should have ALL of the following good (not necessarily excellent) qualifications: Good Publication Records (e.g. 1 journal paper per year) Good Technical Skills (e.g. GPA > 3 out of 4) Good Judgement Ability (e.g. Job Prioritization) Good English Writing (e.g. TOEFL and IELTS) Good Adaptation to Different Environments Good Ability to Work Independently The candidate is also expected to deliver independent research works published on good journals (e.g. IEEE TNNLS, PAMI, TEVC, CYB, and others) for his/her career advancements in the future. Interested candidates should contact Prof. Ka-Chun WONG directly at: kc.w at cityu.edu.hk His research group works have been published on Nature Communications, Advanced Science, Nucleic Acids Research, iScience (Cell Press), Briefings in Bioinformatics, Bioinformatics, IEEE/ACM Transactions, and others. Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong PhD (CS, Toronto) Associate Professor Computer Science City University of Hong Kong Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Sat Oct 14 01:42:25 2023 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Sat, 14 Oct 2023 07:42:25 +0200 Subject: Connectionists: PhD positions in Fair Reinforcement Learning Message-ID: <5bb6f14d-dcc0-80ea-d59a-ede2c4941d41@gmail.com> We are looking for motivated PhD students in the fields of reinforcement learning, fairness and mechanism design at the university of Neuchatel. This project is about developing reinforcement-learning based AI systems that directly interact with some segment of society. The applications include matching and other allocation problems. The research will be performed at the interface between reinforcement learning, social choice theory, Bayesian inference, mechanism design, differential privacy and algorithmic fairness.? The research will have both a theoretical and practical component, which will include some experiments with humans. However, a good theoretical background in probability, machine learning or game theory is necessary for all students. Neuchatel is a vibrant, affordable lakeside city at the Jura mountains of Switzerland, with short connections to Zurich, Lausanne, Fribourg and Bern. The positions are available from January 2024. The PhD lasts for 4 years and includes a small teaching component. To apply, send an email to first.lastname at unine.ch with the subject "PhD Application FairRL". Please include: 1. A statement of research interests. 2. A detailed CV. 3. A transcript of your diplomas. 4. Your Master/Diploma thesis, and any draft or published papers. For more information about the position see: https://sites.google.com/site/christosdimitrakakis/positions For information about the group, see https://sites.google.com/site/christosdimitrakakis From antonior at usp.br Fri Oct 13 18:05:16 2023 From: antonior at usp.br (Antonio Roque) Date: Fri, 13 Oct 2023 19:05:16 -0300 Subject: Connectionists: LASCON 2024 - IX Latin American School on Computational Neuroscience - Extended Application Deadline Message-ID: Due to many requests, the application deadline for LASCON 2024 has been extended to Sunday October 22, 2023 (until midnight, US Pacific Time). **************************************************************************************** IX Latin American School on Computational Neuroscience - LASCON 2024 January 8 - February 2, 2024, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon-ix APPLICATION DEADLINE: October 22, 2023 Third and final announcement Dear Colleagues, After the hiatus of the pandemic, I am pleased to announce that the 9th edition of the Latin American School on Computational Neuroscience (LASCON 2024) will take place January 8 - February 2, 2024 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These subjects will be taught via theoretical classes and hands-on tutorials with the use of the programs NEURON, NetPyNE, NEST, Brian, The Virtual Brain and others. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, University of Strasbourg, Strasbourg, France Demian Battaglia, University of Strasbourg, Strasbourg, France Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Dartmouth College, Hanover, NH, USA Junji Ito, Juelich Research Center, Juelich, Germany Lyle Muller, Western University, London, Ontario, Canada Marja-Leena Linne, Tampere University, Tampere, Finland Mauricio Girardi-Schappo, Federal University of Santa Catarina, Florianopolis, SC, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Sonja Gruen, Juelich Research Center, Juelich, Germany Tilo Schwalger, Technical University of Berlin, Berlin, Germany Valeriy Bragin, State University of New York, New York, NY, USA William Lytton, State University of New York, New York, NY, USA The number of students is limited to 40 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon-ix). Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 22, 2023 (until midnight, US Pacific time). There is no registration fee for the school. Depending on available funding, the school organization may provide free accommodation for students not from the Greater Sao Paulo area. Travel costs will have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2024 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/). I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior at usp.br aroquesilva at gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 ResearcherID: C-2316-2011 Google Scholar: GqHWF74AAAAJ CV Lattes: 4609096963207702 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Oct 15 05:01:08 2023 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 15 Oct 2023 12:01:08 +0300 Subject: Connectionists: Fourth season of the Van Vreeswijk Theoretical Neuroscience Seminar on Zoom: October 18, 2023 - Alaa Ahmed In-Reply-To: References: Message-ID: > https://www.wwtns.online > - > on twitter: wwtns at TheoreticalWide > You are cordially invited to the lecture given by > Alaa Ahmed > > University of Colorado, Boulder > on the topic of > > "A unifying framework for movement control and decision making" > The lecture will be held on zoom on October 18, 2023, at *11:00 am ET * > *To receive the zoom link please register on the VVTNS web page: wwtns.online* *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* > > -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From vito.trianni at istc.cnr.it Sun Oct 15 05:32:09 2023 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Sun, 15 Oct 2023 11:32:09 +0200 Subject: Connectionists: [meetings] AI and Robotics in Precision Agriculture - Workshop at I-RIM 2023, 21/10/2023 Rome, Italy Message-ID: ? apologies for multiple postings ? CALL FOR PARTICIPATION The workshop on AI and Robotics for Precision Agriculture will take place during the forthcoming I-RIM 2023 conference (https://i-rim.it/en/i-rim-conference-2023/), to be held in Rome, Italy, on October the 21st 2023, from 15.30 to 18:30. Event information at: http://www.agrorama.it/airap.html ? Aim and scope ? Precision agriculture relies on the use of accurate data about field health and crop growth status to be able to define the best management strategies and adopt solutions targeted at the individual plant. To obtain increasingly accurate data, AI and Robotics are making their way into the national and international market. This workshop proposes an overview of the Italian excellence from various projects focused on the application of AI and Robotics to Precision Agriculture The invited presentations focus on recent achievements as well as on the perspectives that AI and robotics can open within the agri-tech landscape ? Workshop Program ? Matteo Matteucci, Politecnico di Milano ? Evaluation of AI and robotics advancements in agricultural robotics today and tomorrow Martina Lippi, Universit? Roma Tre ? Towards human-robot collaboration paradigm in precision agriculture settings Gabriele Costante, Universit? di Perugia ? Autonomous MAV and UGV for agricultural applications: past experiences, ongoing projects and future perspectives Lorenzo Scalera, Universit? degli Studi di Udine ? Recent trends in mobile robotics for autonomous mapping in agriculture Vito Trianni, CNR-ISTC ? Active field monitoring by UAV swarms Adriano Mancini, UNIVPM ? Harvesting Knowledge: AI in Precision Agriculture for a Better Decision Support Annalisa Milella, CNR-STIIMA ? Advanced and interoperable perception systems for in-field crop monitoring by a farmer robot ? Location, participation and registration ? The workshop will take place at Fiera di Roma, co-located with the I-RIM 2023 conference (https://i-rim.it/en/i-rim-conference-2023) and the Maker Faire Rome 2023 (https://makerfairerome.eu/). To attend the workshop, it is necessary to register to the I-RIM 2023 conference, either to the full event of for a single day. See all the registration options at https://i-rim.it/en/registration-2023/ ? Workshop Chairs ? Vito Trianni, ISTC-CNR Andrea Gasparri, RomaTre University Daniele Nardi, Sapienza University of Rome ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From serendipity.alvin at gmail.com Sun Oct 15 23:16:26 2023 From: serendipity.alvin at gmail.com (Alvin Yue) Date: Mon, 16 Oct 2023 11:16:26 +0800 Subject: Connectionists: Special Issue on Recent Advances in Security, Privacy, and Trust [5 Journals: Electronics; Journal of Cybersecurity and Privacy; Mathematics; Remote Sensing; Sustainability] Message-ID: Dear Colleagues, Call for Papers: [Electronics (IF: 2.9); Journal of Cybersecurity and Privacy; Mathematics (IF: 2.4); Remote Sensing (IF: 5.0); Sustainability (IF: 3.9)] Topic on Recent Advances in Security, Privacy, and Trust The full call for papers is available on the official website: https://www.mdpi.com/topics/ELY82W061L ================== Participating Journals ================== - Electronics (SCIE, IF=2.9) - Journal of Cybersecurity and Privacy - Mathematics (SCIE, IF=2.4) - Remote Sensing (SCIE, IF=5.0) - Sustainability (SCIE, IF=3.9) ================== Paper Submission ================== All papers need to be submitted electronically through the website: https://www.mdpi.com/topics/ELY82W061L ================== Important Dates ================== Abstract submission deadline: 31 October 2025 Manuscript submission deadline: 31 December 2025 ================== Topic Information ================== The proliferation of information, communication, and computer technologies has brought us into the realm of cyber-physical-social system (CPSS). CPSS comprises of the cyber space, physical space and social space, and their integration such as cyber-physical system (CPS), Internet of Thing (IoT), social computing system, and even the system integrating all three spaces. Recently, CPSS has brought enormous opportunities that have significantly influenced applications. However, there are increasing security, privacy, and trust concerns such as exposure of user privacy and business information in CPSS. Although theories and technologies about security, privacy, and trust have been widely studied and applied in recent years, existing methods are still insecure, impractical or inefficient. To address these challenges, this topic solicits the latest research outcomes and developments on security, privacy, and trust. The topics of interest include, but not limited to the following: - Privacy-enhancing technologies - Privacy-preserving/secure/trust data analysis and processing - Network security, privacy, and trust - Differentially private data analysis - Sustainable security, privacy, and trust - Economics of security, privacy, and trust - Blockchain and its applications - IoT/CPS/CPSS security, privacy, and trust - Security, privacy, and trust in edge/fog/cloud computing - AI/Machine learning security - Federated learning - System security - Hardware security - Web security, privacy, and trust - Big data, artificial intelligence for security, privacy, and trust - Digital twin security, privacy, and trust - Cryptographic techniques, cryptographic protocols ================== Topic Editors ================== - Jun Feng (Lead Editor) Huazhong University of Science and Technology, China Email: junfeng989 at gmail.com Website: http://faculty.hust.edu.cn/fengjun6/en/ - Changqing Luo Virginia Commonwealth University, USA Email: cluo at vcu.edu Website: http://www.people.vcu.edu/~cluo/ - Mamoun Alazab Charles Darwin University, Australia Email: mamoun.alazab at cdu.edu.au Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Sun Oct 15 10:57:26 2023 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Sun, 15 Oct 2023 14:57:26 +0000 Subject: Connectionists: Postdoc in constrained ML for I4.0 and edge computing Message-ID: Dear colleagues, I am offering a postdoctoral position in constrained ML for I4.0 and edge computing. All details are here below, do not hesitate to forward to any potential candidate. Best regards, Beno?t Fr?nay Postdoc in constrained ML for I4.0 and edge computing Context: SMARTSENS is a project funded by the Service public de wallonie Win2Wal program that designs micro-sensors to monitor gas concentrations in various environments, such as industrial facilities and storage locations. The project is conducted in partnership with the University of Namur, the Haute Ecole Louvain en Hainaut (CeREF research center) and the Belgian VOCSENS company. The project benefits from the University of Namur expertise in machine learning and the CeREF expertise in edge computing for the processing of data from the sensors. Indeed, models will be used locally with strict consumption limitations. Job description: The goal of this postdoctoral research is to define, design and evaluate machine learning models of sensors to predict gas concentrations in various environments. Considering limited data availability, we are set to incorporate domain insights provided by domain experts. These insights will center around optimizing low-cost hardware for efficiency and integrate physical laws related to the gas dynamics into the developed ML models. One of the scientific challenges will therefore continue the design of the developed machine learning models and their associated constraints to prioritize them. Working collaboratively with Prof. Benoit Fr?nay, the candidate will also engage with partners from SMARTSENS. This collaborative network includes the CeREF research center for edge computing integration, and VOCSENS, an industry leader in remote gas sensing solutions and data acquisition. The postdoc will be integrated in the HuMaLearn (human-centered ML) team (https://humalearn.info.unamur.be/) with about 10 PhD students and other postdocs. Profile * PhD in Machine Learning or related domain ; * Autonomy and ability to work in a multi-disciplinary team ; * Excellent publication record ; * Proficiency in English (both speaking and writing) is mandatory, knowledge of French and/or Dutch is considered as a plus ; * If a visa/permit is necessary, it should be obtained on January 1st at the latest. Additional information About the employer The Faculty of Computer Science provides cutting-edge teaching and research, with a view to putting computers at the service of society, by taking into account their impact on the environment and by respecting the values of solidarity and sustainable development. The Faculty is a founding member of the Namur Digital Institute (NADI) which gathers over 150 researchers in the field of digital technology. It has a multi-disciplinary approach and addresses in particular the issues and challenges of computer science in organisations and in society. The Faculty of Computer Science has over 400 students, 80 members of staff including 18 professors and around 50 researchers. Founded in 1968, the Faculty of Computer Science has trained over 1,800 high-level computer science graduates since then. Remarks How to apply Applications should be sent by e-mail to: benoit.frenay at unamur.be and contain the following : * Motivation letter, * Curriculum vitae, including publication list, * Copy of Diplomas (Bachelor, Master and PhD, if available), * PhD thesis (if available), * 2-3 recent publications, * Names and e-mail addresses of 3 reference persons to be contacted upon request. Note: Soon to be graduating PhD students are welcome to apply provided that they will have defended their PhD prior to the start of the position. Important dates Submission deadline: November, 15th, 2023 (11h59 pm AoE). Submissions will be processed as they arrive, until the position is filled. Starting date: January 1st, 2024. Duration: until end of February 2025. -------------- next part -------------- An HTML attachment was scrubbed... URL: From serendipity.alvin at gmail.com Sun Oct 15 23:18:05 2023 From: serendipity.alvin at gmail.com (Alvin Yue) Date: Mon, 16 Oct 2023 11:18:05 +0800 Subject: Connectionists: 2023 International Conference on Edge Computing (EDGE 2023) Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= CFP: International Conference on Edge Computing (EDGE 2023) December 17 - 18, 2023 [Paper submission due: October 20, 2023] http://theEdgeComputing.org/2023/ The International Conference on Edge Computing (EDGE) aims to become a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of Edge computing, identify emerging research topics, and define the future of Edge computing. EDGE covers the localized resource sharing and connections with the cloud. Part of the SCF 2018, EDGE 2018 was successfully held on June 25 - June 30, 2018, Seattle, USA. Part of the SCF 2019, EDGE 2019 was successfully held on June 25 - 30, 2019, San Diego, USA. Part of the SCF 2020 and SCF 2021, EDGE 2020 and EDGE 2021 were successfully held over the Internet. SCF 2022 was held successfully in Hawaii, USA. In 2023, we will celebrate our 2023 version of gathering, to strive to advance the largest international professional forum on edge computing. EDGE 2023 is a member of Services Conference Federation (SCF). SCF 2023 will have the following 10 service-oriented sister conferences: 2023 International Conference on Web Services (ICWS 2023), 2023 International Conference on Cloud Computing (CLOUD 2023), 2023 International Conference on Services Computing (SCC 2023), 2023 International Conference on Big Data (BigData 2023), 2023 International Conference on AI & Mobile Services (AIMS 2023), and 2023 International Conference on Metaverse (Metaverse 2023), 2023 International Conference on Internet of Things (ICIOT 2023), 2023 International Conference on Cognitive Computing (ICCC 2023), 2023 International Conference on Edge Computing (EDGE 2023), and 2023 International Conference on Blockchain (ICBC 2023). The technical program of EDGE 2023 will include a Research Track, an Application Track, and a Short Paper Track. The EDGE 2023 tracks seeks original, UNPUBLISHED research papers reporting substantive new work in various aspects of edge infrastructure and applications. Research Track papers MUST clearly indicate their contributions to the field of edge computing technologies, applications and solutions. All papers MUST properly cite related work in the field, such as those published in the proceedings of ICWS, SCC, CLOUD, AIMS, SERVICES, BigData, ICIOT, ICBC, EDGE, APSCC, ECOWS, and ================== Important Dates ================== - Special Track submission due: October 20, 2023 - Review comments to Regular paper submission: October 23, 2023 - Camera ready manuscripts due: October 25, 2023 - Conference dates: December 17 - 18, 2023 ================== Topics of interest include, but are not limited to ================== - Edge Storage - Edge Connections - Edge Analytics - Edge AI - Edge Processing Engine - Industry-Specific Edges - Edge Application Innovations - 5G and Edge - 5G and Cloud - Edge Security, Privacy and Trust ================== Paper Submission ================== All submitted manuscripts will be peer-reviewed by at least 3 program committee members. Accepted and presented papers from all EDGE tracks will appear in the conference proceedings. Submitted Research Track and Application Track manuscripts will be limited to 15 (LNCS Proceedings style) pages and REQUIRED to be formatted using the LNCS Proceedings template (WORD, Latex). Submitted Short Paper track manuscripts will be limited to 8 (LNCS Proceedings style) pages. The authors can extend a maximum of 2 pages for each paper but will have to pay extra fees for each extra page. Unformatted papers and papers beyond the maximum page limit may not be reviewed. Electronic submission of manuscripts (in PDF or Word format) is required. Detailed instructions for electronic paper preparation and submission, panel proposals, tutorial proposals, workshop proposals, and review process can be found at http://theedgecomputing.org/2023/. The Proceedings of EDGE 2023 will be published in the Lecture Notes in Computer Science (LNCS) by Springer International Publishing AG. Currently the Abstracting and Indexing services covered by Springer's data feeds for LNCS proceedings include ISI Conference Proceedings Citation Index (included in Web of Science), Engineering Index EI (Compendex and Inspec databases), DBLP, Google Scholar, IO-Port, MathSciNet, Scopus, and ZBlMath. For all 10 conferences of SCF 2023, the content of this proceedings volume will be made freely accessible to anyone in the Springer's digital library after four years upon publication. At least one author of each accepted paper is required to register to the conference and present the paper. One Best Paper award and one Best Student Paper award will be granted at EDGE 2023. The first author of the best student paper must be a full-time student. The Best Paper Awards will be sponsored by Springer, which is a leading global scientific, technical and medical portfolio, providing researchers in academia, scientific institutions and corporate R&D departments with quality content through innovative information, products and services. Extended versions of selected papers will be invited for special issues in the related journals including IJWSR(SCI), Electronics (SCI IF=2.9),Sustainability (SCI and SSCI, IF=3.9), Remote Sensing (SCI, IF=5.0), Mathematics (SCI, IF=2.4), Journal of Cybersecurity and Privacy,STBD, STSC, STCC, STIOT and IJBPIM. EDGE 2023 Special Track Submission https://edas.info/newPaper.php?c=30770&track=117347 ================== Organizing Committee ================== - Program Chairs Jun Feng, Huazhong University of Science and Technology, China Min Luo, Georgia Tech, USA Frank Jiang, Deakin University, Australia - Operations Committee Jing Zeng, China Gridcom Co.,Ltd. Yishuang Ning, Tsinghua University Sheng He, Tsinghua University - Program Committee Xianghan Zheng, Fuzhou University, China Le Chang, Guangdong University of Technology, China Tao Han, New Jersey Institute of Technology, USA Tessema Mengistu, Virginia Tech, USA Rui Andr? Oliveira, University of Lisbon, Portugal Weichao Wang, University of North Carolina at Charlotte, USA Mengjun Xie, University of Tennessee at Chattanooga, USA Ozgur Ertug, Gazi University,Turkey Midori Sugaya, Shibaura Institute of Technology, Japan Javid Taheri, Karlstad University, Sweden Hung-Yu Wei, National Taiwan University, China -------------- next part -------------- An HTML attachment was scrubbed... URL: From hannah.bayer at internationalbrainlab.org Mon Oct 16 08:00:00 2023 From: hannah.bayer at internationalbrainlab.org (Hannah Bayer) Date: Mon, 16 Oct 2023 08:00:00 -0400 Subject: Connectionists: Learn to use International Brain Lab data at SfN 2023 Message-ID: A Brainwide Map of mouse brain neural activity during decision-making was released by the International Brain Laboratory ( https://internationalbrainlab.org) and we want you to use it to test your own hypotheses! At the Society for Neuroscience meeting this year, we will host a workshop for anyone interested in learning to use the data. During this tutorial we will teach you to search and download datasets, do basic analyses, and give tips for more advanced computation. We will also demonstrate how to upload your analysis results to our visualization website. Bring your laptop to work along with the demonstration. Participation is free, but registration is required. For more information and to register, visit http://internationalbrainlab.org/sfn2023 -- Hannah M. Bayer, PhD (she/her) Executive Director International Brain Laboratory https://www.internationalbrainlab.com/ -- Hannah M. Bayer, PhD (she/her) Executive Director International Brain Laboratory https://www.internationalbrainlab.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Mon Oct 16 14:46:56 2023 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Mon, 16 Oct 2023 20:46:56 +0200 Subject: Connectionists: Next SIPTA seminar: Ryan Martin on falsifying statistical models (18/10 at 3pm Paris Time) Message-ID: <53FC2C96-223A-408D-8F33-83DFF5A36BE3@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 18th October (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82973185259 For this new seminar, we are very happy to have Ryan Martin as our speaker. Ryan Martin is a professor at the Department of Statistics, North Carolina State University. Ryan Martin is in general interested in the foundations of statistics and probabilities. He is well known, among other things, for having proposed inferential models, a very generic framework allowing to make calibrated statistical statements through the use of non-additive measures. On the 18th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Falsification, Fisher's underworld of probability, and balancing behavioral & statistical reliability?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=mhKYP8BMQNM&t See you at the seminar! S?bastien, Enrique and Jasper From Janis.Lazovskis_1 at rtu.lv Tue Oct 17 06:57:26 2023 From: Janis.Lazovskis_1 at rtu.lv (=?iso-8859-4?Q?J=E0nis_Lazovskis?=) Date: Tue, 17 Oct 2023 10:57:26 +0000 Subject: Connectionists: New seminar in Applied Algebraic Topology and Networks Message-ID: Dear colleagues, With great pleasure we announce the launch of the AATRN Networks Seminar. This monthly seminar is an affiliated activity of the Applied Algebraic Topology Research Network (aatrn.net), and will be covering applications and theory of how network structure is revealed through topology and algebra. The talks will be held once a month, generally on the first Tuesday of the month, starting 7 November at 5pm CET (11am Eastern) via the Zoom platform. We already have a lineup of exciting speakers, including: Cristian Bodnar (Microsoft) Dani Bassett (University of Pennsylvania) Katie Morrison (University of Northern Colorado) Please visit the seminar web page for the full schedule and speakers: sites.google.com/view/aatrn-networks-seminar Regular reminders (and Zoom coordinates) will be distributed through our mailing list, for which you can register at: groups.google.com/g/aatrn-networks The reminders will also be forwarded to the AATRN mailing list, to which you can also register (if you have not already done so) at: groups.google.com/g/aatrn As with regular AATRN activities, the talks will also be available through the AATRN YouTube channel: youtube.com/c/AppliedAlgebraicTopologyNetwork Please help us spread the word about this new seminar series within your own research network. If you have suggestions for a speaker, please email the seminar at topologyandnetworks at gmail.com. We apologise if you receive this message multiple times since we are announcing it on various venues. Best wishes from the organisers, Daniela Egas Santander, J?nis Lazovskis, Henri Riihim?ki, Jason Smith -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.stefik at sri.com Tue Oct 17 12:20:08 2023 From: mark.stefik at sri.com (Mark Stefik) Date: Tue, 17 Oct 2023 16:20:08 +0000 Subject: Connectionists: =?windows-1252?q?W15=3A_Bootstrapping_Development?= =?windows-1252?q?al_AIs_=96_From_Simple_Competences_to_Intelligent_Human-?= =?windows-1252?q?Compatible_AIs?= Message-ID: A two-day Developmental AI workshop will be held starting on February 26-27, 2024, at AAAI 2024 in Vancouver, B.C. to discuss new findings, open challenges, and research opportunities for creating developmental AIs. The workshop draws on research in neuroscience, developmental psychology, artificial intelligence, cognitive robotics, and education research. website: https://www.bdai-aaai24.com/ This will be a working workshop ? with cross-cutting multidisciplinary working groups. Participation is open to established researchers and to students interested in advancing this area and the virtuous research cycle with adjacent areas. Please circulate this information to colleagues and graduate students. ------ Workshop Organizers Mark Stefik SRI International ? PARC. (Workshop point of contact) Angelo Cangelosi University of Manchester. Benjamin Kuipers; University of Michigan. Celeste Kidd; UC Berkeley. Bob Price; SRI International ? PARC. Charles Ortiz; SRI International ? PARC. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Tue Oct 17 12:02:18 2023 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Tue, 17 Oct 2023 16:02:18 +0000 Subject: Connectionists: Fully-funded PhD in machine-learning for tracking subject's choice behaviour (Nottingham, UK) Message-ID: A fully-funded PhD is available with Dr Silvia Maggi and Professor Mark Humphries (University of Nottingham) and Dr Hazem Toutonji (University of Sheffield). Decision-making happens in dynamic environments. Understanding how subjects respond to such a fast-changing world requires approaches that can track subject's choice strategies at the resolution of single trials. We recently developed a Bayesian inference algorithm (Maggi et al., 2023, bioRxiv) that enables trial-resolution tracking of learning and exploration during learning. This project will build on this work to solve crucial problems of determining which of a set of behavioural strategies a subject is using and how to incorporate evidence uncertainty into its detection of the learning of strategies and transitions between them. Using the extended algorithm on datasets of rodents and humans performing decision tasks will let us test a range of hypotheses for how correct decisions are learnt and what innate strategies are used. Application deadline: November 30th 2023 PhD start date: February 1st 2024 Full details and how to apply here: https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-decision-making-unravelling-neurobehavioral-strategies/?p161602 [https://www.findaphd.com/images/FAP-social-icon.jpg] Cognitive Flexibility in Dynamic Decision-Making: Unravelling Neurobehavioral Strategies at University of Nottingham on FindAPhD.com PhD Project - Cognitive Flexibility in Dynamic Decision-Making: Unravelling Neurobehavioral Strategies at University of Nottingham, listed on FindAPhD.com www.findaphd.com ? Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Oct 17 09:15:18 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 17 Oct 2023 15:15:18 +0200 Subject: Connectionists: SUNBELT 2024 Edinburgh Scotland: Call for Workshop & Organised Sessions Message-ID: *INSNA SUNBELT 2024 * *24 -30 June 2024* *Edinburgh, Scotland* *Call for Workshops* Submission Deadline: *November 05, 2023* Workshops are half day (3 hours), or full day (6 hours) sessions focused on teaching specific methods, , applications, software, or theories related to Social Networks. The workshops will take place before the main conference. They are not free of charge and require additional payment upon registration. Required information: ? Workshop title ? A brief description of your workshop (max. 500 words) ? Names and contact information of all organisers ? Length of the workshop (3 or 6 hours) ? Maximum number of attendees Sign up and submit your proposal.*at https://www.conftool.pro/sunbelt2024 **/* *Call for Organised Session Proposals* Submission Deadline: *November 05, 2023* An Organized Session is a set of paper presentations centred on a specific theme, for which participants can submit abstracts during the regular abstract submission period. Organised sessions consist of at least one 2-hour time slot accommodating 4-6 paper presentations. ? Required information: ? A short descriptive title for your session. ? A brief description of your session. ? Contact information for a session organiser. Sign up and submit your proposal.*at https://www.conftool.pro/sunbelt2024 **/* Join us at COMPLEX NETWORKS 2023 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science Plos Complex Systems Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastiano.vascon at unive.it Tue Oct 17 11:14:39 2023 From: sebastiano.vascon at unive.it (Sebastiano VASCON) Date: Tue, 17 Oct 2023 17:14:39 +0200 Subject: Connectionists: [JOB POST] 2 Years PostDoc Researcher in Computer Vision @ Ca' Foscari University Message-ID: The Computer Vision and Machine Learning (CVML) Laboratory of the Ca' Foscari University of Venice will soon open a 1+1 year PostDoc position on Computer Vision. The selected candidate will work on a project of national interest on Computer Vision applied to Robotics for Health. The aim is to develop an active assistive device (walker) for people with walking deficits. The project involves three partners, Ca' Foscari University of Venice, the University of Padova, and the University of Catania, and several technologies! === What are we looking for? === We are looking for talented candidates with experience (track record of conference proceedings or journals) in at least one of the following areas: person detection/recognition, tracking and forecasting, and social robotics. Indeed, good development skills (Python and deep learning libraries Pytorch/Tensorflow), as well as curiosity, independence, and sincere interest in the above-mentioned topics are required. Previous experience in industrial projects involving computer vision techniques and/or ROS platform is also appreciated. Fluency in English (spoken and written) is essential. === What you'll get? === - a good salary compared to the average stipend in Italy - a good working place (flexible working hours, in particular for family needs) - an international environment with friendly and nice colleagues - a good computing infrastructure (2 dedicated servers with GPUs) - the possibility of living in one of the most beautiful cities in the world (Venice) - there will be no didactic duties, but if the candidate is interested, there may be opportunities in that direction. === About us === As for us, the CVML group at Ca' Foscari University has a long tradition of research in computer vision, machine learning, and artificial intelligence, with a particular focus on graph-based methods. Currently, the group comprises one full professor (head of the lab), two full-time researchers, three postdocs, nine Ph.D. students, and many master students and external collaborators in various fields. We are a small but highly motivated group! The candidate will be expected to actively contribute to the laboratory activities by participating in weekly seminars, discussions, and research-related tasks. === Show your interests === If you are interested in this position, you can contact sebastiano.vascon at unive.it , attaching your CV and whatever doubts/curiosities you might have. Thank you! -- *Sebastiano Vascon* Assistant Professor (RTD-b, tenure-track) Department of Environmental Science, Informatics and Statistics Ca' Foscari University of Venice Via Torino, 155 - 30170 Mestre, Venice (VE), Italy European Center for Living Technology Dorsoduro 3911, Calle Crosera, 30123 Venice, Italy phone: +390412348487 mail: sebastiano.vascon at unive.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From yaser.amd at gmail.com Tue Oct 17 19:36:50 2023 From: yaser.amd at gmail.com (Yaser Jararweh) Date: Wed, 18 Oct 2023 02:36:50 +0300 Subject: Connectionists: =?utf-8?q?Foundation_and_Large_Language_Models_?= =?utf-8?b?KEZMTE3igIsgMjAyMyksIEFidSBEaGFiaSwgVUFFLiBOb3ZlbWJlciAy?= =?utf-8?q?2-23=2C_2023=2E?= Message-ID: The International Symposium on Foundation and Large Language Models (FLLM 2023) https://fllm-conference.org/FLLM2023/index.php Abu Dhabi, UAE. November 22-23, 2023. (Co-located with SNAMS and Technically Co-Sponsored by IEEE) *FLLM Call for Papers:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Symposium on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics related to FLLMs, with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - *Future Directions* - Generative AI - Explainability - Federated Learning for FLLM - Data Augmentation - Natural Language Processing Applications - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - *Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Submission Guidelines:* Papers submitted to FLLM must be the original work of the authors. They may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to FLLM. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately. All papers that are accepted, registered, and presented in FLLM will be submitted to IEEEXplore for publication with SNAMS proceedings. *Important Dates* - *Paper Submission Deadline: 21-October-2023 * - Notification of acceptance: 8-November -2023 - Camera-ready Submission: 15-November-2023 Please send any questions about FLLM to Yaser Jararweh: yijararweh at just.edu.jo -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Tue Oct 17 20:50:28 2023 From: evomusart at gmail.com (EvoMUSART) Date: Wed, 18 Oct 2023 01:50:28 +0100 Subject: Connectionists: =?utf-8?q?Last_Call_for_Papers_-_EvoMUSART_2024_-?= =?utf-8?q?_13th_International_Conference_on_Artificial_Intelligenc?= =?utf-8?q?e_in_Music=2C_Sound=2C_Art_and_Design_=283=E2=80=935_Apr?= =?utf-8?q?il_2024=29?= Message-ID: ------------------------------------------------ Call for papers for the 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 3-5 April 2024, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2024/evomusart/ Submission deadline: 1 November 2023 Conference: 3-5 April 2024 EvoMUSART is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in creative and artistic fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Submissions must be at most 14 pages long, excluding references, in Springer LNCS format. Each submission must be anonymized for a double-blind review process. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic objects; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Contextualisation of creative AI in cultural, economic, social, political or ecological discourse; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART: www.evostar.org/2024/evomusart/ Flyer of EvoMUSART 2024: http://www.evostar.org/2024/flyers/evomusart We look forward to seeing you in EvoMUSART 2024! The EvoMUSART 2024 organisers Colin Johnson S?rgio M. Rebelo Iria Santos (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue Oct 17 22:01:33 2023 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Wed, 18 Oct 2023 02:01:33 +0000 Subject: Connectionists: NEURAL NETWORKS, October 2023 Message-ID: Neural Networks - Volume 167, October 2023 https://www.journals.elsevier.com/neural-networks A multilayered bidirectional associative memory model for learning nonlinear tasks Damiem Rolon-M?rette, Thadd? Rolon-M?rette, Sylvain Chartier MI-DAGSC: A domain adaptation approach incorporating comprehensive information from MI-EEG signals Dongxue Zhang, Huiying Li, Jingmeng Xie, Dajun Li A large-scale neurocomputational model of spatial cognition integrating memory with vision Micha Burkhardt, Julia Bergelt, Lorenz G?nner, Helge ?lo Dinkelbach, ... Fred H. Hamker Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography Visual-quality-driven unsupervised image dehazing Aiping Yang, Yumeng Liu, Jinbin Wang, Xiaoxiao Li, ... Yanwei Pang Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification Guangfei Li, Quanxue Gao, Ming Yang, Xinbo Gao ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He Cross-domain policy adaptation with dynamics alignment Haiyuan Gui, Shanchen Pang, Shihang Yu, Sibo Qiao, ... Xue Zhai Structure-aware deep clustering network based on contrastive learning Bowei Chen, Sen Xu, Heyang Xu, Xuesheng Bian, ... Xiaopeng Hua Graph embedding based multi-label Zero-shot Learning Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, ... Jinfeng Yang Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks Indro Spinelli, Riccardo Bianchini, Simone Scardapane HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer Youfa Liu, Shufan Tong, Yongyong Chen Self-supervised contrastive graph representation with node and graph augmentation Haoran Duan, Cheng Xie, Bin Li, Peng Tang Learning domain invariant representations by joint Wasserstein distance minimization L?o And?ol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, ... Gr?goire Montavon Bridged adversarial training Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee Bidirectionally self-normalizing neural networks Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot Yanbin Zhang, Mathias Thor, Nat Dilokthanakul, Zhendong Dai, Poramate Manoonpong Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti Adaptive dynamic programming-based hierarchical decision-making of non-affine systems Danyu Lin, Shan Xue, Derong Liu, Mingming Liang, Yonghua Wang Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu, Baokang Zhao Learning dynamic spatial-temporal regularized correlation filter tracking with response deviation suppression via multi-feature fusion Sathishkumar Moorthy, Young Hoon Joo Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data Qinghua Zhou, Shuihua Wang, Hengde Zhu, Xin Zhang, Yudong Zhang A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations Amr Farahat, Felix Effenberger, Martin Vinck Information theory-guided heuristic progressive multi-view coding Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng Word self-update contrastive adversarial networks for text-to-image synthesis Jian Xiao, Yiwen Sun, Xiaojun Bi Information theoretic perspective on sample complexity Deborah Pereg LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu Communication-efficient federated learning with stagewise training strategy Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, ... Enhong Chen CollectiveNet-AltSpec: A collective concurrent CNN architecture of alternate specifications for EEG media perception and emotion tracing aided by multi-domain feature-augmentation Parham Faraji, Mohammad Bagher Khodabakhshi DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters Laszlo Papp, David Haberl, Boglarka Ecsedi, Clemens P. Spielvogel, ... Wolfgang Drexler Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition Xuehao Gao, Shaoyi Du, Yang Yang On exploring node-feature and graph-structure diversities for node drop graph pooling Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, ... Tongliang Liu MPCNet: Compressed multi-view video restoration via motion-parallax complementation network Chang Wu, Gang He, Xinquan Lai, Yunsong Li Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, ... Jiajun Bu Causal multi-label learning for image classification Yingjie Tian, Kunlong Bai, Xiaotong Yu, Siyu Zhu Contrastive self-representation learning for data clustering Wenhui Zhao, Quanxue Gao, Shikun Mei, Ming Yang Improving Differentiable Architecture Search via self-distillation Xunyu Zhu, Jian Li, Yong Liu, Weiping Wang Switching ETM-based neural adaptive output feedback control for nonaffine stochastic MIMO nonlinear systems subject to deferred constraint Xiaona Song, Peng Sun, Choon Ki Ahn, Shuai Song Boosting adversarial robustness via self-paced adversarial training Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, ... Zenglin Xu An adaptive embedding procedure for time series forecasting with deep neural networks Federico Succetti, Antonello Rosato, Massimo Panella A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data Xi Zhou, Wei Xiang, Tao Huang Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games Jiangyu Wang, Ding Wang, Xin Li, Junfei Qiao Sparse discriminant PCA based on contrastive learning and class-specificity distribution Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images Wei Chen, Chen Li, Dan Chen, Xin Luo Addressing implicit bias in adversarial imitation learning with mutual information Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang Spiking neural P systems with lateral inhibition Yuping Liu, Yuzhen Zhao Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication Fei Wei, Guici Chen, Zhigang Zeng, Nallappan Gunasekaran Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor Shaobo He, D. Vignesh, Lamberto Rondoni, Santo Banerjee Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions Rui Luo, Zhinan Peng, Jiangping Hu, Bijoy Kumar Ghosh Visual question generation for explicit questioning purposes based on target objects Jiayuan Xie, Jiali Chen, Wenhao Fang, Yi Cai, Qing Li Novel results on asymptotic stability and synchronization of fractional-order memristive neural networks with time delays: The 0 < delta <= 1 case Jia-Rui Zhang, Jun-Guo Lu, Xiao-Chuang Jin, Xing-Yu Yang Sampled-data exponential consensus of multi-agent systems with Lipschitz nonlinearities Wenqing Zhao, Guoliang Chen, Xiangpeng Xie, Jianwei Xia, Ju H. Park A varying-parameter fixed-time gradient-based dynamic network for convex optimization Dan Wang, Xin-Wei Liu Measuring multivariate phase synchronization with symbolization and permutation Zhaohui Li, Xinyan Wang, Yanyu Xing, Xi Zhang, ... Xiaoli Li Spatial oblivion channel attention targeting intra-class diversity feature learning Honggui Han, Qiyu Zhang, Fangyu Li, Yongping Du Distorted image classification using neural activation pattern matching loss Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet Ali Kashefi, Tapan Mukerji Event fusion photometric stereo network Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, ... Chunxu Zhang Conditioned Cooperative training for semi-supervised weapon detection Jose L. Salazar Gonz?lez, Juan A. ?lvarez-Garc?a, Fernando J. Rend?n-Segador, Fabio Carrara PEPNet: A barotropic primitive equations-based network for wind speed prediction Rui Ye, Baoquan Zhang, Xutao Li, Yunming Ye A scalable second order optimizer with an adaptive trust region for neural networks Donghee Yang, Junhyun Cho, Sungchul Lee Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model Dian Zhang, Yunwei Dong Efficient and accurate compound scaling for convolutional neural networks Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, ... Zhenyi Wang Mathematical expression recognition using a new deep neural model Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani, Alireza Darvishy, Hans-Peter Hutter Subspace distillation for continual learning Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi Adversarial attacks and defenses using feature-space stochasticity Jumpei Ukita, Kenichi Ohki -------------- next part -------------- An HTML attachment was scrubbed... URL: From imprsis at tuebingen.mpg.de Thu Oct 19 05:36:54 2023 From: imprsis at tuebingen.mpg.de (IMPRS IS) Date: Thu, 19 Oct 2023 11:36:54 +0200 Subject: Connectionists: Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems Message-ID: The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its eighth generation of Ph.D. students in spring of 2024. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 15, 2023. Finalists will be invited to selection interviews that will take place from February 1 to 9, 2024. This school is a key element of Baden-W?rttemberg?s Cyber Valley initiative to accelerate basic research and commercial development in artificial intelligence and robotics. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as: ? Biomedical Technology ? Computational Cognitive Science ? Computer Vision and Graphics ? Control Systems and Optimization ? Data Science ? Haptics and Human-Computer Interaction ? Machine Learning ? Micro- and Nano-Robotics ? Neuroscience ? Perceptual Inference ? Robotics and Human-Robot Interaction ? Soft Robotics and Materials Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems. ? Admitted Ph.D. students can join our program starting in spring of 2024. ? You will be mentored by our internationally renowned faculty. ? You will conduct your research in either Stuttgart or T?bingen, Germany. ? IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. ? All aspects of our program are in English. ? Your doctoral degree will be conferred when you successfully complete your Ph.D. project. ? Our dedicated staff members will assist you throughout your time as a doctoral student. People with a strong academic background and a master?s degree (conferred or expected soon) in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. IMPRS-IS is an equal opportunity employer dedicated to excellence through diversity and does not discriminate on the basis of age, race, sex, disability, sexual orientation, national origin, religion, marital status, gender identity, or any other non-job-related criteria. We believe in the importance of a multicultural community of students, faculty, and staff who seek to advance our commitment to diversity and inclusion. IMPRS-IS strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 15, 2023. Finalists will be invited to selection interviews that will take place from February 1 to 9, 2024. For further information, please visit https://imprs.is.mpg.de Attachment -------------- next part -------------- A non-text attachment was scrubbed... Name: IMPRS-IS 2024 Recruitment Ad.pdf Type: application/pdf Size: 473955 bytes Desc: not available URL: From maria.m.hedblom at gmail.com Thu Oct 19 10:01:46 2023 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Thu, 19 Oct 2023 16:01:46 +0200 Subject: Connectionists: =?utf-8?q?1st_cfp=3A_SCAI=E2=80=9924_-_The_14th_S?= =?utf-8?q?candinavian_Conference_on_AI=2E_10-11th_June=2C_2024=2E_?= =?utf-8?b?SsO2bmvDtnBpbmcsIFN3ZWRlbg==?= Message-ID: 1st Call for papers *SCAI?24* - The 14th Scandinavian Conference on AI 10-11th June, J?nk?ping, Sweden Event website: SCAI Symposium 2024 Theme: AI for a better society In the last years, research on Artificial Intelligence has made both academia and industry to take a more active role in engaging with the general public. The immense success of recent results appears almost endless, but they are not without faults or concerns. Addressing the role these technologies can have in human society is therefore important. The 14th Scandinavian Conference on AI (SCAI?24) invites researchers and industry practitioners working on all facets of AI to submit their research. Organised as a joint venture by the Swedish AI Society (SAIS) and Norwegian AI Society (NAIS), the event invites researchers from all over the world to participate in ongoing discussions. Venue The event will take place June 10-11, 2024, in the picturesque, yet modern Swedish city of J?nk?ping. It is a middle-sized city beautifully tucked in between deep Swedish forests, mirror-clear lakes and flowing hills. Join us over a ?*kanelbulle* ?(cinnamon roll) to discuss the latest in AI research and network in the social program while overlooking the sun set over the crystal-clear water of V?ttern (Sweden?s second-largest lake). Confirmed Keynote Speakers In addition to the scientific and social program, SCAI has already three confirmed keynote speakers all capturing different aspects of the conference theme: AI for a better society. We are proud to have Virginia Dignum, Professor of Computer Science at Ume? University, Timo Minssen, Director at JUR Centre for Advanced Studies in Biomedical Innovation Law, and Patrik J?genstedt, Director Advanced Development, Robotics & AI Lab at Husqvarna, joining SCAI as invited speakers! A later announcement will provide more details on their talks. Topics of Interest and Paper Formats Contributions are welcome from all areas of Artificial Intelligence, and topics of interest include (but are not limited to): - AI applications - AI ethics and regulations - Knowledge representation - Hybrid and neurosymbolic AI - Machine learning methods and applications - Case studies of AI in the public sector and industry - Complex systems and swarm intelligence - Cognitive robotics and intelligent agents - Human-computer interaction with an AI-focus - Planning and Scheduling - Natural Language Processing - Computer Vision - Search Algorithms - Multi-Agent-Systems For the scientific program of the conference, we invite four types (with corresponding submission tracks) of contributions to SCAI 2024, from all areas of AI research: - 6-10 pages full paper describing original contributions (not under review at another venue). General descriptions of current and ongoing projects are also acceptable. This category will be published in SCAI 2024 proceedings unless the authors opt-out. Please note that full papers in the proceedings are approved as a scientific publication channel at level 1 in Norway. - 2 pages extended abstracts of previously published papers in e.g., AI journals and AI conferences, within the last 12 months. The two pages should include everything, e.g., references, figures, etc. These will not be included in the proceedings, only presented at the conference. - 2 pages extended abstract describing AI industrial application, demonstrating use cases that leverage machine learning and AI techniques in a real-world setting. The two pages should include everything, including references, figures, etc. The first author should be from industry. These will not be included in the proceedings, only presented at the conference. - 2 pages extended abstract describing ongoing Ph.D. projects (the first author must be a Ph.D. student). Problem statement and research question/s must be clearly introduced and motivated. The two pages should include everything, e.g., references, figures, etc. These will not be included in the proceedings, only presented at the conference. All submissions will be peer-reviewed by the conference program committee and accepted contributions will be presented as oral presentations, practical demonstrations or poster sessions. Accepted full papers will be published in the electronic workshop proceedings (Link?ping University Electronic Press). All submissions must be written in English using the IEEE Latex template available *The submission instructions will follow on the event website: *SCAI Symposium 2024 Organizing Committee - *Einav Perez-Andersson*, J?nk?ping University, School of Engineering (General Chair) einav.perez.andersson at ju.se - *Florian Westphal*, J?nk?ping University, School of Engineering, florian.westphal at ju.se - *Jerome Landre*, J?nk?ping University, School of Engineering, jerome.landre @ju.se - *Maria Riveiro*, J?nk?ping University, School of Engineering, maria.riveiro at ju.se - *Tuwe L?fstr?m*, J?nk?ping University, School of Engineering, Tuwe.Lofstrom at ju.se - *Maria M. Hedblom,* J?nk?ping University, School of Engineering, maria.hedblom at ju.se - *He Tan,* J?nk?ping University, School of Engineering, he.tan at ju.se Steering Chair - Fredrik Heintz, Link?ping University, fredrik.heintz at liu.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From hussain.doctor at gmail.com Wed Oct 18 13:40:46 2023 From: hussain.doctor at gmail.com (Amir Hussain) Date: Wed, 18 Oct 2023 18:40:46 +0100 Subject: Connectionists: Job Vacancy: Post-doctoral Research Fellowship (deadline: 22 October 2023) In-Reply-To: References: Message-ID: Dear all: *please help circulate - thank you in advance* The UK EPSRC funded COG-MHEAR research programme (https://cogmhear.org) is recruiting for a Postdoctoral Research Fellow in AI-enabled multimodal hearing assistive technology, based at Edinburgh Napier University in Scotland, UK - please see details in the link below. COG-MHEAR (full or part-time) Research Fellow post (flexible start date preferably as soon as possible, for up to 24 months - closing date: 22nd October 2023): https://www.timeshighereducation.com/unijobs/listing/355490/research-fellow-in-multimodal-hearing-assistive-technology/ Please get in touch with any queries. Kindest regards Amir --- Professor Amir Hussain Programme Director: UK EPSRC COG-MHEAR (https://cogmhear.org/) Director: Centre of AI and Robotics School of Computing, Engineering & Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, Scotland, UK E-mail: a.hussain at napier.ac.uk https://www.napier.ac.uk/people/amir-hussain From gexarcha3 at gmail.com Thu Oct 19 08:54:16 2023 From: gexarcha3 at gmail.com (Georgios Exarchakis) Date: Thu, 19 Oct 2023 13:54:16 +0100 Subject: Connectionists: PhD position for UK residents Message-ID: A fully funded PhD position is available with Dr Georgios Exarchakis and Prof Michael Tipping at the University of Bath. For full details please look at: Interpretable Models for Invariant Representations of High-dimensional Data *Application Deadline: Sunday, December 10, 2023 * Feel free to contact me with any questions. Best, Georgios -------------- next part -------------- An HTML attachment was scrubbed... URL: From leslie.perez at pucv.cl Fri Oct 20 01:26:03 2023 From: leslie.perez at pucv.cl (Leslie Angelica Perez Caceres) Date: Fri, 20 Oct 2023 02:26:03 -0300 Subject: Connectionists: CfP ANTS 2024 - 14th International Conference on Swarm Intelligence Message-ID: Call for Papers: 14th International Conference on Swarm Intelligence ANTS 2024 14th International Conference on Swarm Intelligence October 9-11, 2024. Konstanz, Germany Up-to-date information at https://www.uni-konstanz.de/ants-2024/ Scope of the Conference Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors, such as movement coordination, shape formation, and decision making. Algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. We highlight ant colony optimization (ACO) focusing on discrete optimization problems and particle swarm optimization (PSO) that is specialized for continuous optimization problems. The application of swarm intelligence to robotics is swarm robotics with focus on designing collaborative multi-robot systems that show high degrees of robustness and scalability. With ANTS 2024 we want to give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications. The three-day conference will be held for the first time in Konstanz, Germany, on October 9-11, 2024. Relevant Research Areas ANTS 2024 welcomes contributions dealing with any aspect of swarm intelligence. Topics of interest include: theoretical and empirical research in swarm intelligence application of swarm intelligence methods (e.g., ant colony optimization, particle swarm optimization) to real-world problems theoretical and experimental research in swarm robotics systems behavioral models of social insects or other animal societies that can stimulate new algorithmic approaches Important Dates Submission deadline: March 24, 2024 Notification of acceptance: May 15, 2024 Camera ready copy: May 29, 2024 Conference: October 9-11, 2024 Publication Details Conference proceedings will be published by Springer in the LNCS series, as those of the last editions of the ANTS Conference. The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2024 that will contain extended versions of the best research works presented at the conference. Further details will soon be published on the web site. Conference Location The conference will be hosted by the University of Konstanz in collaboration with the Centre for the Advanced Study of Collective Behaviour. The venue is beautifully located close to the city center of Konstanz and the lake of Constance. ANTS 2024 Organizing Committee General chair Heiko Hamann, University of Konstanz, Konstanz, Germany Honorary chair Marco Dorigo, Universit? Libre de Bruxelles, Brussels, Belgium Local organization and publicity chair Heiko Hamann, University of Konstanz, Konstanz, Germany Jonas Kuckling, University of Konstanz, Konstanz, Germany Tanja Katharina Kaiser, University of Technology Nuremberg, Nuremberg, Germany Technical program chairs Leslie P?rez C?ceres, Pontificia Universidad Cat?lica de Valpara?so, Valpara?so, Chile Andreagiovanni Reina, Universit? Libre de Bruxelles, Brussels, Belgium Publication chair Ken Hasselmann, ECAM Brussels Engineering School, Brussels, Belgium Paper submission chair Eduard Buss, University of Konstanz, Konstanz, Germany Further Information Up-to-date information will be published at the following address: https://www.uni-konstanz.de/ants-2024/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From b.c.schwab at utwente.nl Fri Oct 20 02:53:34 2023 From: b.c.schwab at utwente.nl (Schwab, Bettina (UT-EEMCS)) Date: Fri, 20 Oct 2023 06:53:34 +0000 Subject: Connectionists: PhD Position in ERC Project DECODE Message-ID: <8ADDF4FF-054D-4869-BD86-132A58884A69@utwente.nl> Dear Connectionists, we are looking for a PhD student in the new ERC project DECODE (Desynchronizing weak cortical fields during deep brain stimulation). The PhD student will mainly work on finite-element method models of electric fields during deep brain stimulation and will use clinical data. Ideal backgrounds are engineering, physics, or related fields. Find some general information about the project in this magazine article and on my website. Apply by November 10th via this link. Any questions can be addressed to me by e-mail: b.c.schwab at utwente.nl. Best, Bettina -- Bettina C. Schwab Assistant Professor Biomedical Signals and Systems Technical Medical Centre University of Twente, The Netherlands Email: b.c.schwab at utwente.nl Associated Researcher Department of Neurophysiology and Pathophysiology University Medical Center Hamburg-Eppendorf, Germany Email: b.schwab at uke.de https://bettina-schwab.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathieu.desroches at inria.fr Sat Oct 21 04:47:06 2023 From: mathieu.desroches at inria.fr (desroche) Date: Sat, 21 Oct 2023 10:47:06 +0200 Subject: Connectionists: Postdoc on Dravet syndrome modeling: Inria (Montpellier, France) and BCAM (Bilbao, Spain) Message-ID: <86EDFEA9-7E33-4464-A94A-A248B1DBD3D5@inria.fr> Dear all, We have funds for a two-year postdoc on Dravet syndrome modeling. This is part of an international collaboration between Inria (Bordeaux, Montpellier, Sophia Antipolis, France) and BCAM - the Basque Center for Applied Mathematics (Bilbao, Spain), involving Fabien Campillo , Pierre Del Moral , Mathieu Desroches and Serafim Rodrigues . The postdoc will be based at Inria, in Montpellier. The aim of the project is to develop a multiscale model of Dravet syndrome, from ionic channels of interacting neurons to large neural populations. We will use various modeling frameworks, adapted to the scale, from piecewise-deterministic Markov processes to mean-field formalism. The postdoc will perform a mathematical analysis of the models, extensive numerical simulations as well as data analysis using neural recordings from our experimental partners. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience and Markov processes. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page: https://jobs.inria.fr/public/classic/fr/offres/2023-06688? https://jobs.inria.fr/public/classic/en/offres/2023-06688 https://jobs.inria.fr/public/classic/en/offres/2023-06688 If you have any questions, do not hesitate to contact us directly: Fabien Campillo: fabien.campillo at inria.fr Mathieu Desroches: mathieu.desroches at inria.fr Best, Mathieu Desroches. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro Project Team Leader Centre Inria d'Universit? C?te d'Azur, France https://www-sop.inria.fr/members/Mathieu.Desroches/ ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: favicon-16x16.png Type: image/png Size: 1406 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: inr_logo_rouge_petit.png Type: image/png Size: 7716 bytes Desc: not available URL: From jiankliu at gmail.com Sat Oct 21 08:26:00 2023 From: jiankliu at gmail.com (Jian Liu) Date: Sat, 21 Oct 2023 13:26:00 +0100 Subject: Connectionists: PhD/Postdoc Positions in AI/Brain Research at the University of Birmingham Message-ID: *PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning* The lab of Dr Jian Liu invites applications for several PhD/Postdoc positions at the interface of computational neuroscience and machine learning, at the School of Computer Science University of Birmingham. Research projects will involve theoretical analysis, computational modeling, and data analysis, with worldwide collaborations of neuroscience experimentalists, clinicians, and robotic engineers. We are working on a wide range of topics, from fundamental neuroscience questions, AR/VR in cognition, and brain diseases from molecules to systems, to robotic applications. For representative examples and publications, please visit: http://jiankliu.github.io Candidates with a quantitative background are welcome. We are looking for highly motivated candidates with a spirit of intellectual adventure. The positions will come with competitive work conditions. Generous traveling budgets are available. Please send the following information to the contract point at https://www.birmingham.ac.uk/staff/profiles/computer-science/academic-staff/liu-jian.aspx - Detailed CV with publications; - Letter on motivation and interests; - Other relevant materials of interest; The School of Computer Science at the University of Birmingham is one of the leading UK institutions for research and teaching in computer science. Our research is ranked 3rd across all UK universities according to the latest UK-wide Research Excellence Framework. Education is ranked 7th in the UK for computer science, according to 2023 tables. While pursuing excellence in research and education, we also aim to optimize our positive impact on society?examples include collaborations with industry partners and charities, commercialisation activities and an extensive wider participation programme. The University of Birmingham is committed to providing equal opportunities for all and offers a range of family friendly policies. We are committed to being an inclusive workplace that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days. -------------- next part -------------- An HTML attachment was scrubbed... URL: From liyama at yorku.ca Fri Oct 20 13:41:26 2023 From: liyama at yorku.ca (Liya Ma) Date: Fri, 20 Oct 2023 17:41:26 +0000 Subject: Connectionists: York University seeks to recruit a Computational Neuroscientist at the Assistant or Associate Professor level Message-ID: I hope this email finds you well. My name is Liya Ma, and I am writing to you as a member of the search committee at the Department of Psychology at York University. We are currently embarking on a search for a highly talented Computational Neuroscientist with a focus on vision-related research, broadly defined. This unique position is part of the prestigious Canada Research Chairs program (CRC) and is also supported by the Vision: Science to Applications (VISTA) program. We are actively looking for candidates to fill this role at either the Assistant or Associate Professor level, depending on qualifications and experience (within 10 years from their terminal degree). Recognizing the underrepresentation of women and gender minorities among CRCs, this position is open only to qualified researchers who indicate on the Affirmative Action self-identification form that they identify as women or gender non-conforming. If you could kindly help us by distributing this call for applications to any colleagues or contacts you believe may be interested or suitable for this position, we would greatly appreciate your assistance in reaching potential candidates. Please see the ad at: https://www.yorku.ca/vpepc/faculty-affairs/faculty-positions/ https://www.yorku.ca/vpepc/faculty-affairs/wp-content/uploads/sites/698/2020/06/HH_CRC_ComNeuro_.pdf Best regards, Liya Liya Ma, PhD She/Her Assistant Professor, Tier II Canada Research Chair Visual Neurophysiology Centre Dept. of Psychology York University https://www.cogneurophys.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Sat Oct 21 11:41:12 2023 From: doya at oist.jp (Kenji Doya) Date: Sat, 21 Oct 2023 15:41:12 +0000 Subject: Connectionists: Open Faculty Positions at OIST: Deadline October 31, 2023 In-Reply-To: <417150A9-3D27-4899-939C-FE7459903653@oist.jp> References: <5086B636-4207-4F8C-9C8E-F6E20EA575B3@oist.jp> <417150A9-3D27-4899-939C-FE7459903653@oist.jp> Message-ID: <0C4926C0-112E-4D5F-A91E-4D1FFB2D1BA5@oist.jp> Okinawa Institute of Science and Technology (OIST) has up to 10 open faculty positions in fields including life sciences and computational sciences: https://groups.oist.jp/facultypositions We target at least 50% women in this search. The application deadline is October 31, 2023. Each faculty member runs an independent research unit with internal funding including PhD students and postdoc/technical staff positions. A tenure-track faculty will have a tenure review within 6 years and a tenured faculty can renew research funding with reviews every 5 years till retirement at 70. OIST is an international, interdisciplinary graduate university without department boundaries. Education, research, and administration are run in English and no Japanese skills are required. A variety of supports for foreign researchers and family members are provided. See the flyer: https://groups.oist.jp/sites/default/files/imce/u769/Faculty-Recruitment-23-08-29.pdf We look forward to your application. Best wishes, Kenji ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From gangluo at cs.wisc.edu Sat Oct 21 10:36:28 2023 From: gangluo at cs.wisc.edu (GANG LUO) Date: Sat, 21 Oct 2023 14:36:28 +0000 Subject: Connectionists: Postdoc position in machine learning at the University of Washington Message-ID: The University of Washington has a postdoc position opening in machine learning. The postdoctoral fellow will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine learning classification / prediction results. Candidates should have a PhD in machine learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine learning software packages such as Weka, Tensorflow, and PyTorch is a plus. The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled. Applicants should send a CV (listing programming skills, publications, and a list of 3 or so research references) and statement of research interests to Prof. Gang Luo (luogang at uw.edu) in the Department of Biomedical Informatics and Medical Education. The Luo lab is located near the city center of Seattle. The University of Washington, and the Seattle area in general, has an excellent community and programs in computer science, medical informatics, and related fields. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Steven.M.Frankland at dartmouth.edu Sat Oct 21 14:36:26 2023 From: Steven.M.Frankland at dartmouth.edu (Steven M. Frankland) Date: Sat, 21 Oct 2023 18:36:26 +0000 Subject: Connectionists: Dartmouth PhD Position - Cognitive Science Message-ID: We are excited to welcome applications for prospective PhD students to work in the labs of Steven Frankland (https://www.stevenfrankland.com/) and Jonathan Phillips (http://phillab.host.dartmouth.edu/) housed in the Cognitive Science Program at Dartmouth College. Students will earn their Ph.D. in the Department of Psychological and Brain Sciences (https://pbs.dartmouth.edu/) Our labs seek to better understand the normative principles and mechanistic underpinnings of human cognition. Some topics of particular interest are: how we dynamically assemble new thoughts, how we think about alternative possibilities, and how/why processing capacity is often so limited. We encourage students interested in pursuing computational, behavioral, and neuroscientific work on these and related questions to apply to Dartmouth?s Psychological and Brain Sciences PhD Program (https://pbs.dartmouth.edu/graduate-program-psychological-and-brain-sciences). The deadline is December 1, 2023. In addition to psychology and neuroscience, our labs draw broadly on work in computer science, philosophy, and linguistics. The Cognitive Science Program at Dartmouth maintains close ties to these departments, which provide a breadth of resources for Ph.D. candidates affiliated with the Program in Cognitive Science. Feel free to reach out to steven.m.frankland at dartmouth.edu with questions! -------------- next part -------------- An HTML attachment was scrubbed... URL: From baolshausen at berkeley.edu Sun Oct 22 01:54:07 2023 From: baolshausen at berkeley.edu (Bruno OLSHAUSEN) Date: Sat, 21 Oct 2023 22:54:07 -0700 Subject: Connectionists: Faculty position in computational/theoretical neuroscience at UC Berkeley Message-ID: <4843843B-D50B-41EB-9A01-3DDA80C5241D@berkeley.edu> The Helen Wills Neuroscience Institute together with the Department of Statistics at UC Berkeley is conducting a faculty search in the area of computational or theoretical neuroscience. This is an ideal opportunity for computational/theoretical neuroscientists who are engaged in both model and theory development and collaborative work with experimentalists. For further information please see the official posting at https://aprecruit.berkeley.edu/JPF04142 Application deadline is November 15. --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute, and Herbert Wertheim School of Optometry & Vision Science Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 (510) 642-7250 / 2-7206 (fax) http://redwood.berkeley.edu/bruno From pia.bideau at inria.fr Sun Oct 22 08:48:39 2023 From: pia.bideau at inria.fr (Pia Bideau) Date: Sun, 22 Oct 2023 14:48:39 +0200 Subject: Connectionists: [Jobs] 2 PhD positions at INRIA - robotic manipulation Message-ID: <48BF9515-9DB3-4FE0-BA92-BF7F67315A19@inria.fr> 2 PhD positions @INRIA , MIAI (Grenoble) **************** We are looking for two motivated PhD students that are interested in working at the edge between perception and interaction for robotic manipulation. PhD Position F/M Learning Sequences of Contact States for Object Manipulation PhD Position F/M Anticipation of Hand-Object Contact Configuration for Object Manipulation Research activities in MIAI aim to cover all aspects of AI and applications of AI with a current focus on embedded and hardware architectures, learning and reasoning, perception and interaction, AI & society, AI for health, AI for environment & energy, and AI for industry 4.0. This project in particular focuses on perception and robot interaction and thus will take place in close collaboration with the THOTH Team at INRIA and the University of Grenoble (LIG and GIPSA-Lab). If you have any questions regarding these positions, please feel free to contact me at any time! Looking forward to your application, Pia -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun Oct 22 15:43:15 2023 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sun, 22 Oct 2023 19:43:15 +0000 Subject: Connectionists: Call for Papers: IEEE BIBM-LncRNA'23: Workshop on Long Non-Coding RNAs -- 1 week to go In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ Paper submission deadline (extended): Oct. 30, 2023 -- see below Call for Papers The IEEE BIBM 2023 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Dec. 5 - 8, 2023. Though the BIBM conference will be held in Istanbul, Turkey, the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Istanbul, Turkey. BIBM- LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ IEEE BIBM 2023: https://ieeebibm.org/BIBM2023/ The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs. Research topics: The potential topics include, but not limited to, the following: lncRNA detection and biomarker discovery CLIP-Seq and RIP-Seq data analysis Prediction of physical binding between lncRNA and DNA, RNA and protein. Competition and interaction between lncRNA, miRNA and mRNA Studying methylation regulating lncRNA functions Function Prediction for lncRNAs Deep learning approaches to lncRNA/RNA binding protein prediction Computational approaches to analyzing lncRNA lncRNA 3D secondary structures lncRNA-protein interactions lncRNA in epigenetic regulation lncRNA associated diseases network lncRNAs in plant genomics lncRNAs in phenotype-genotype problems lncRNAs and single cell transcriptomics lncRNAs and spatial transcriptomics CRISPR/Cas9 and Genome editing in lncRNAs We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals. Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. We aim at supporting at least one author for each accepted paper, depending on number of papers, and on availability of funds. Journal Special Issue: Authors of selected submissions may be invited to extend their papers for submission for review and possible publication in a special issue of a journal. The journal special issue for the 2021 workshop is being published by the journal Non-Coding RNA. https://www.mdpi.com/journal/ncrna/special_issues/81CH217P14 Paper Submission: (Abstract, Short Paper, or Full Paper) Please submit your abstract (1 page), short paper (2 pages), or full-length paper (up to 8 pages in IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required. Click on this link to submit paper. Important Dates: Oct 30, 2023, 11:59:59 PM WST: Due date for full workshop paper submission. Nov 10, 2023: Notification of paper acceptance to authors Nov 21, 2023: Camera-ready of accepted papers Dec 5-8, 2023: Workshops and Conference BIBM-LncRNA'23 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas_serre at brown.edu Sun Oct 22 21:09:30 2023 From: thomas_serre at brown.edu (Thomas Serre) Date: Mon, 23 Oct 2023 01:09:30 +0000 Subject: Connectionists: Tenure-track faculty position in Computational Brain Science @Brown Message-ID: *Tenure-track Assistant, Associate or Full Professor in Computational Brain Science* Robert J. and Nancy D. Carney Institute for Brain Science Brown University The Robert J. and Nancy D. Carney Institute for Brain Science ( https://www.brown.edu/carney/ ) at Brown University invites applications from rising and established leaders in computational brain science for a tenure-track/tenured position at the Assistant, Associate of Full Professor level. A transformative $100M gift to the Institute is catalyzing the growth and expansion of Carney faculty and research over the next decade, including to further research goals of the Center for Computational Brain Science ( https://ccbs.carney.brown.edu/ ). As part of this expansion, this search will consider applicants with expertise in computational neuroscience broadly construed and will result in an appointment with a tenure-track home in a Carney Institute-affiliated department (including physics, applied mathematics, computer science, neuroscience, and cognitive, linguistic and psychological sciences). The successful applicant will have an outstanding record of research and teaching that contributes to the mission of the candidate?s appropriate home department and the Carney Institute Center for Computational Brain Science. We are particularly interested in scholars who demonstrate commitment to promoting diversity and inclusion in the brain sciences. The Carney Institute promotes discovery and innovation in brain science by supporting a diverse community of experimentalists, theorists, engineers, and clinicians. With more than 200 affiliated faculty members in more than 20 academic and clinical units, the Carney Institute catalyzes research across the brain sciences, including in the neurobiology of cells and circuits, computational brain science, cognition and behavior, and neuroengineering and neurotechnology. We are a highly interactive community that values collaborative approaches to tackle major questions in brain science to benefit society. Quality of research and scholarship is central to reaching our goals and this depends on engaging talented scientists from across academia and embracing their contributions in a fully inclusive community. The Carney Institute?s strategic vision is aligned with Brown?s commitment to creating a more fully diverse and inclusive community, outlined in ? Pathways to Diversity and Inclusion: An Action Plan for Brown University ( https://diap.brown.edu/ ).? *Qualifications* Applicants must have a Ph.D. at the time of starting work. The start date can be anytime between July 1, 2024 , and January 1, 2025. *Application Instructions* ** All candidates should submit: (1) a teaching statement; (2) a research statement; (3) a diversity and inclusion statement; (4) a curriculum vitae; (5) up to 5 publications; and (6) a cover letter describing their interest in the position (including the general field of research and potential departments of interest); (7) Candidates currently holding tenured faculty positions should provide the names of three referees; these referees will not be contacted without prior authorization from the candidate. Candidates who do not currently hold a tenured faculty position should have at least three letters of reference submitted before the application deadline. Letters of support should speak to the candidate?s potential as a scholar, colleague, mentor and teacher. Inquiries about the position should be directed to carney-institute at brown.edu. Consideration of applications will begin on November 13, 2023 ; we will continue to accept applications until the position is filled. Brown is an equal opportunity/affirmative action employer, and members of underrepresented groups in brain science are strongly encouraged to apply. Apply at http://apply.interfolio.com/132928. *Equal Employment Opportunity Statement* ** Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status. --T -------------------------------------------------------------------------------------------- Thomas Serre |?Brown University | Carney Institute for Brain Science Thomas J. Watson, Sr. Professor of Science Departments of Cognitive Linguistic & Psych. Sciences and Computer Science Faculty Director, Center for Computation & Visualization Associate Director, Center for Computational Brain Science ANR-3IA Artificial and Natural Intelligence Toulouse Institute T: +1 401-863-1148? | serre-lab.clps.brown.edu ( http://serre-lab.clps.brown.edu ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From skoenig at usc.edu Sun Oct 22 16:29:30 2023 From: skoenig at usc.edu (Sven Koenig) Date: Sun, 22 Oct 2023 13:29:30 -0700 Subject: Connectionists: [2nd Call] The League of Robot Runners (a new MAPF competition) In-Reply-To: <0eab6696-6f41-4b72-a3a5-e998b71be598n@googlegroups.com> References: <0eab6696-6f41-4b72-a3a5-e998b71be598n@googlegroups.com> Message-ID: <74079162-d4ef-40a9-9a3c-88a873fc22f3@usc.edu> The League of Robot Runners www.leagueofrobotrunners.org The inaugural League of Robot Runners is a competition series that tackles one of the most challenging problems in automated logistics: coordinating a team of moving robots. Simplified versions of such problems appear in the research literature under the name Multi-Agent Path Finding (MAPF), Multi-Robot Path Planning (MRPP), Multi-Agent Coordination, and many others. Sponsored by Amazon Robotics, the League is designed to bridge the gap between academia and industry, by identifying the core combinatorial challenges that make robot coordination problems difficult to solve in practice. In the competition, a team of (simulated) robots work together to complete errands. They fulfil orders, sort mail and navigate tricky grid environments. Participants must compute efficient and collision-free paths for the team. By following these paths the robots can get to where they?re going as quickly as possible, so that they can complete as many errands as possible, all before time runs out. The competition is open to teams and individuals from any geographic region and from any community. All approaches (and their combinations) are welcome, including but not limited to: - algorithmics and AI planning, - combinatorial search and optimisation, - machine learning and reinforcement learning, - mathematical programming and operations research, and - any other class of reasoning techniques. Awards and Prizes: Participants will test their skills against the best in the field, competing for fame and financial prizes across three categories: Category 1; Best overall: $5,000 USD The winner of this category has the highest overall score across all problem instances in the competition. Category 2; Line honours: $2,500 USD The winner of this category has the largest number of best solutions across all problem instances in the competition. Category 3; Fast mover: $2,500 USD Participants are eligible for this category if their solver always returns a set of valid actions (one? for each agent) before the end of each planning episode (one second each). The winner of this category has the highest overall score among all eligible participants. Notable performances in each category (2nd, 3rd) will be highlighted and recognised with an award certificate. A limited number of training awards are also available on a basis of merit. These awards come in the form of AWS credits worth $1,000 USD and are intended to help participants who need large computational resources for pre-computations (for example, model training). Submission Process: Participants register on our website with their GitHub credentials.? Competing solvers are then uploaded to a private repository. The submitted code is automatically cloned, compiled, and executed on our evaluation server, and participants can track their progress via our live leaderboard. Submissions are welcome anytime before the deadline! We provide starter code, example problems, solution validators, visualisers, and extensive documentation. After the competition, participants are required to open source their submissions so they can be studied and adopted by others in the research community. Important dates: - November 30th, 2023: Competition ends - December 20th, 2023: Results are announced Competition chairs: - Daniel Harabor (Monash University) - Sven Koenig (University of Southern California) - Cathy Wu (Massachusetts Institute of Technology) - Jingjin Yu (Rutgers University) For more information,please visit our website: www.leagueofrobotrunners.org For community discussion,join our official Discord https://discord.gg/CEYT4g4raR We hope to see you there! -------------- next part -------------- An HTML attachment was scrubbed... URL: From jarsalas at inf.ufrgs.br Sun Oct 22 23:39:56 2023 From: jarsalas at inf.ufrgs.br (Jaime Andres Riascos Salas) Date: Sun, 22 Oct 2023 22:39:56 -0500 Subject: Connectionists: [Conference] Final CFP (27/10) - IV Latin American Workshop on Computational Neuroscience - Nov 28-30 Envigado, Colombia Message-ID: <405d764ed906cb18c1bd0a32176a27d4@inf.ufrgs.br> Sorry for the cross-posting ********************************* CALL FOR PAPERS CFP Final Paper Submission Deadline: October 27th, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. Online and on-site www.lawcn.co Contact: lawcn_2023 at iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigaci?n Tecnolog?as Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking to enhance the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburr? Valley, close to Medell?n, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Bests Papers will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS, https://www.springer.com/series/7899; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue ?Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind? published by the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index; ISSN 2011-7922); and the Special Issue ?Engineering/computational methods applied to Psychology and neuroscience? published by the Ingenier?as USBMED journal (https://revistas.usb.edu.co/index.php/IngUSBmed; ISSN 2027-5846). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. Authors of accepted papers must present their work in the workshop. We have several travel and registration grants thanks to the International Brain Research Organization (IBRO) for international and national authors, prioritizing women and underrepresented regions. See the full information in the next link: https://lawcn.co/event/studentsGrants.html The Workshop will consist mainly of the following activities. ? Presentation of up to nine (9) key researchers of international and national renown. ? Round table to widely discuss gender diversity in Neuroscience. ? Oral presentations of accepted papers by their authors. ? Poster session. ? Launch of the Brain-Computer Interface LATAM network. ? Technical exhibitors. Conference chairs ? Jaime A. Riascos, Institution University of Envigado (IUE), Colombia ? Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization ? Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil ? Vinicius Cota Federal University S?o Jo?o do Rei (UFSJ), Brazil ? Marta Molinas NTNU, Norway ? Edwin Moncada Institution University of Envigado, Colombia ? Jonier Rend?n Institution University of Envigado, Colombia ? Efra?n Buritic? Universidad del Valle ? COLNE, Colombia ? Pablo Reyes Pontificia Universidad Javeriana - Colne ? Hern?n Villota Institution University of Envigado, Colombia ? Daniel Betancourt Institution University of Envigado, Colombia ? Catalina Alvarado Pontificia Universidad Javeriana, Colombia ? Fernando Marmolejo-Ramos University of South Australia, Australia ? Paula Herrera Universidad Tecnol?gica de Pereira, Colombia Keynote Speakers ? Prof. PhD. Norberto Garc?a Caraisco (USP, Brazil) ? Prof. PhD. Salvador Dura-Bernal (SUNY, USA) ? Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) ? Prof. PhD. Fabien Lotte (INRIA, France) ? Prof. PhD. Marta Molinas (NTNU, Noruega) ? Prof. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) ? Prof. PhD. Paula Herrera (Universidad Tecnol?gica de Pereira, Colombia) ? Prof. PhD. Alexandre Surget(iBraiN Inserm University of Tours, France) ? Prof. PhD. Marangelie Criado-Marrero (University of Florida, USA) Roundtable Women in Neuroscience: ? Prof. PhD. Lina Becerra, Colegio Colombiano Neurociencias (COLNE), Pontificia Universidad Javeriana, Universidad del Valle, Colombia ? Prof. PhD. Yadira Ibarg?en-Vargas, University of Orleans, France ? Prof. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) ? Prof. PhD. Marta Molinas (NTNU, Noruega) ? Prof. PhD. Paula Herrera (Universidad Tecnol?gica de Pereira, Colombia) Important dates (firmly final deadline) Paper submission deadline: October 27th, 2023 Notification of acceptance (paper): November 6th, 2023 Camera-ready (paper): November 15th, 2023, Abstract submission deadline (for poster presentation): October 30, 2023 Notification of acceptance (abstract): November 6th, 2023 Camera-ready (abstract): November 15th, 2023. More Information: www.lawcn.co Best regards, and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor IUE Chair IV LAWCN https://lawcn.co/ From boubchir at ai.univ-paris8.fr Mon Oct 23 02:41:59 2023 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 23 Oct 2023 08:41:59 +0200 Subject: Connectionists: =?utf-8?q?=5BCfP=5D_Special_Issue_on_=E2=80=9CIoT?= =?utf-8?q?_Technology_in_Bioengineering_Applications=E2=80=9D?= In-Reply-To: <8effe9f9-490d-21f4-c551-24672cc1e799@ai.univ-paris8.fr> References: <8effe9f9-490d-21f4-c551-24672cc1e799@ai.univ-paris8.fr> Message-ID: <13571944-ac9e-4495-b77b-1e30ef027144@ai.univ-paris8.fr> Dear colleagues, */Bioengineering/*(ISSN 2306-5354) is an open access journal of MDPI indexed within Scopus, Web of Science, PubMed, and other databases (Impact Factor 5.046). This journal is currently running a Special Issue on *?*IoT Technology in Bioengineering Applications*?*. You are invited to publish an original research article or review paper in this Special Issue. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. This Special Issue presents novel solutions to challenging real-world problems using IoT devices applied in bioengineering. IoT technology is used in therapies, implants, diagnostics, adaptive prosthetics, etc., where data are recorded and processed in the cloud for Internet-based uses. This method is developed for remote monitoring to improve people's lives. The "IoT Technology Applied in Bioengineering" issue publishes research using quantitative tools, including simulation and mathematical modeling. The Special Issue focuses on exciting applications of bioengineering science in health and medicine. Please click here for further information: https://www.mdpi.com/journal/bioengineering/special_issues/B0SI0294V9 We hope you find this topic to be of interest. The submission deadline is *December 31, 2023,*and manuscripts may be submitted at any point until the deadline**as papers will be published continuously. Kind regards, Prof. Larbi Boubchir / / -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Mon Oct 23 00:30:41 2023 From: junfeng989 at gmail.com (Jun Feng) Date: Mon, 23 Oct 2023 12:30:41 +0800 Subject: Connectionists: Special Issue on Recent Advances in Security, Privacy, and Trust [5 Journals: Electronics; Journal of Cybersecurity and Privacy; Mathematics; Remote Sensing; Sustainability] Message-ID: Call for Papers: [Electronics (IF: 2.9); Journal of Cybersecurity and Privacy; Mathematics (IF: 2.4); Remote Sensing (IF: 5.0); Sustainability (IF: 3.9)] Topic on Recent Advances in Security, Privacy, and Trust The full call for papers is available on the official website: https://www.mdpi.com/topics/ELY82W061L ================== Participating Journals ================== - Electronics (SCIE, IF=2.9) - Journal of Cybersecurity and Privacy - Mathematics (SCIE, IF=2.4) - Remote Sensing (SCIE, IF=5.0) - Sustainability (SCIE, IF=3.9) ================== Paper Submission ================== All papers need to be submitted electronically through the website: https://www.mdpi.com/topics/ELY82W061L ================== Important Dates ================== Abstract submission deadline: 31 October 2025 Manuscript submission deadline: 31 December 2025 ================== Topic Information ================== The proliferation of information, communication, and computer technologies has brought us into the realm of cyber-physical-social system (CPSS). CPSS comprises of the cyber space, physical space and social space, and their integration such as cyber-physical system (CPS), Internet of Thing (IoT), social computing system, and even the system integrating all three spaces. Recently, CPSS has brought enormous opportunities that have significantly influenced applications. However, there are increasing security, privacy, and trust concerns such as exposure of user privacy and business information in CPSS. Although theories and technologies about security, privacy, and trust have been widely studied and applied in recent years, existing methods are still insecure, impractical or inefficient. To address these challenges, this topic solicits the latest research outcomes and developments on security, privacy, and trust. The topics of interest include, but not limited to the following: - Privacy-enhancing technologies - Privacy-preserving/secure/trust data analysis and processing - Network security, privacy, and trust - Differentially private data analysis - Sustainable security, privacy, and trust - Economics of security, privacy, and trust - Blockchain and its applications - IoT/CPS/CPSS security, privacy, and trust - Security, privacy, and trust in edge/fog/cloud computing - AI/Machine learning security - Federated learning - System security - Hardware security - Web security, privacy, and trust - Big data, artificial intelligence for security, privacy, and trust - Digital twin security, privacy, and trust - Cryptographic techniques, cryptographic protocols ================== Topic Editors ================== - Jun Feng (Lead Editor) Huazhong University of Science and Technology, China Email: junfeng989 at gmail.com Website: http://faculty.hust.edu.cn/fengjun6/en/ - Changqing Luo Virginia Commonwealth University, USA Email: cluo at vcu.edu Website: http://www.people.vcu.edu/~cluo/ - Mamoun Alazab Charles Darwin University, Australia Email: mamoun.alazab at cdu.edu.au Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab -------------- next part -------------- An HTML attachment was scrubbed... URL: From keller at inf.ed.ac.uk Mon Oct 23 08:13:20 2023 From: keller at inf.ed.ac.uk (Frank Keller) Date: Mon, 23 Oct 2023 13:13:20 +0100 Subject: Connectionists: PhD Studentships at the University of Edinburgh Message-ID: <25910.25440.568684.669168@aramis.inf.ed.ac.uk> PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE SCIENCE Institute for Language, Cognition and Computation School of Informatics University of Edinburgh The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2024.. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: * Natural language processing and computational linguistics * Machine Translation * Speech technology * Dialogue, multimodal interaction, language and vision * Computational Cognitive Science, including language and speech, decision-making, learning and generalization * Social Media and Computational Social Science * Human-Computer interaction, design informatics, assistive and educational technology * Information retrieval and visualization Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 19,162 (2024/25 rates) per year and tuition fees. Awards increase every year, typically with inflation. Studentships are available for UK, EU, and non-EU nationals. Applicants should have a strong undergraduate degree or equivalent in computer science, cognitive science, AI, or a related discipline. For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult: http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc Details regarding the PhD programme and the application procedure can be found at: http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd There are TWO DEADLINES for applications to receive full consideration: round 1: 24th November 2023 round 2: 26th January 2024 The link to the application portal is: https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/bySchool&school=8 We strongly recommend that non-UK applicants submit their applications in round 1, to maximise their chances of funding. Please direct inquiries to the PhD admissions team at ilcc-admissions at inf.ed.ac.uk. From ashhadulislam at gmail.com Mon Oct 23 07:36:48 2023 From: ashhadulislam at gmail.com (ashhadul islam) Date: Mon, 23 Oct 2023 14:36:48 +0300 Subject: Connectionists: [Meetings] NeuroAI Workshop, co-located with NeurIPS 2023 Message-ID: We are thrilled to extend an invitation to the NeuroAI Workshop, co-located with NeurIPS 2023, taking place at the New Orleans Convention Center *Key Details:* Workshop Name: NeuroAI Date: December 12/13/15 Time: 6pm-9pm Venue: New Orleans Convention Center This workshop promises to bring together leading experts and researchers to delve into the latest advancements in the intersection of neuroscience and artificial intelligence. Attendees can expect insightful discussions, engaging presentations, and networking opportunities with pioneers in the field. For detailed information and updates about the event, please visit the official website https://sites.google.com/view/neuroai-neurips2023/home. We look forward to your participation and to collectively advancing the frontiers of NeuroAI. Best regards, *-----------------------------------------* *Dr. Samir Brahim Belhaouari* *Division of Information and Computing TechnologyCollege of Science and EngineeringHamad Bin Khalifa UniversityEducation City, Qatar Foundation, Doha, Qatar* *Office : A 160, LAS building | Education City* *P.O. Box: 34110 | Doha - Qatar* *Tel: (974) 44546424* *www.hbku.edu.qa * _______________________________ Ashhadul Islam Division of Information and Computing Technology College of Science and Engineering Hamad Bin Khalifa University Education City, Qatar Foundation, Doha, Qatar Ph: +974 66081840 -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Mon Oct 23 07:43:28 2023 From: max.garagnani at gmail.com (Max Garagnani) Date: Mon, 23 Oct 2023 11:43:28 +0000 Subject: Connectionists: Applications for 2024-25 entry OPEN:: MSc in Computational Cognitive Neuroscience, Goldsmiths (London, UK) Message-ID: ********************************************************************************** The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE at Goldsmiths, University of London (UK) ********************************************************************************** is now accepting APPLICATIONS for FULL- and PART-time studies in 2024-25. Note: places on this programme are limited and will be allocated on a first-come first-served basis. The course builds on the multi-disciplinary and strong research profiles of our Computing and Psychology Departments staff. It equips students with a solid theoretical basis and experimental techniques in computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners (see below). Applications range from computational neuroscience and machine learning to brain-computer interfaces to experimental and clinical research. For more INFORMATION about the course, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ HOW TO APPLY: ============= Submitting an online application is easy and entirely free of cost. Simply click on THIS LINK and follow the instructions. COURSE OUTLINE: =============== This is a one-year full-time or two-years part-time Masters programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for full-time studies). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), however, individuals with different backgrounds but equivalent experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out in house or in collaboration with an external partner, either from academia or industry. For samples of previous students' MSc projects , visit: https://coconeuro.com/index.php/student-projects/ LINKS WITH INDUSTRY: ==================== The programme benefits from an ongoing collaborative partnership with different international companies having headquarters in the UK, the EU, and Japan. Carrying out your final research project with one of our industry partners will enable you to acquire cutting-edge skills much in demand on the job market and provide a fast-track route towards post-master's internships and employment. You can see examples of careers taken by some of our graduates, and read what they have to say about this course, here: https://coconeuro.com/index.php/alumni/ For any further information, including entry requirements, fees and funding opportunities, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. Max Garagnani, PhD. PhD. -- Joint Programme Director, MSc in Computational Cognitive Neuroscience Senior Lecturer in Computer Science Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ ******************************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From francois.fleuret at unige.ch Mon Oct 23 14:11:26 2023 From: francois.fleuret at unige.ch (Francois Fleuret) Date: Mon, 23 Oct 2023 20:11:26 +0200 Subject: Connectionists: Three open PhD positions at the University of Geneva in the field of deep machine learning Message-ID: <1aa4c00f-42ec-49ca-830e-5af128fb62ed@unige.ch> The Machine Learning Group[1] at the University of Geneva[2], headed by Prof. Francois Fleuret[3], has three open PhD positions in the field of deep machine learning, with a particular interest for attention models, algorithmic aspects and federated learning. These positions are funded by the Swiss National Science Foundation and salaries are highly competitive. Ideal starting time is early 2024 but can be delayed. Applicants must be seasoned programmers used to development with modern development tools and machine learning frameworks (e.g. git, numpy, PyTorch, JAX), and have a strong background in mathematics, in particular in probabilities, signal processing, optimization, and algorithmic. Application should be done on-line at https://fleuret.org/francois/apply_form.html Founded in 1559, the University of Geneva is the third largest university in Switzerland by number of students, and ranked second nationwide according to the Shanghai Ranking of World Universities 2023[5]. The city of Geneva[6] is centrally located in Europe, host of numerous international organizations[7] (e.g. UN, WHO, WIPO, WTO, ICRC, CERN), and provides an ideal environment for foreign students and researchers. Contact for more information: francois.fleuret at unige.ch ---------------------------- Links: [1] https://mlg.unige.ch/ [2] https://www.unige.ch/en/ [3] https://fleuret.org/francois/bio.html [4] https://fleuret.org/francois/apply_form.html [5] http://www.shanghairanking.com/rankings/arwu/2023 [6] https://en.wikipedia.org/wiki/Geneva [7] https://en.wikipedia.org/wiki/List_of_international_organizations_based_in_Geneva -- Francois Fleuret https://fleuret.org/francois/ From suashdeb at gmail.com Tue Oct 24 06:05:48 2023 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 24 Oct 2023 15:35:48 +0530 Subject: Connectionists: ISMSI 2024 Submission Deadline less than 1 month away Message-ID: Dear esteemed colleagues, This is to let you know that the deadline for submission of manuscripts for 2024 8th ISMSI, an annual global event of llCCl, is less than 1 month away. For more information regarding conference proceedings, spl. issue of Springer Publication etc pls. visit the conference website http://www.ismsi.org Attached pls find the cfp of the same. I solicit your help in sharing this piece of info with your peers and motivate them to submit manuscripts. Thank you and will be looking forward to receive manuscripts from you/your colleagues in the coming days. With kind regards, Suash Deb General Chair, ISMSI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CFP-ISMSI24 (2).pdf Type: application/pdf Size: 742348 bytes Desc: not available URL: From mihai.constantin84 at upb.ro Tue Oct 24 06:00:34 2023 From: mihai.constantin84 at upb.ro (MIHAI-GABRIEL CONSTANTIN (115317)) Date: Tue, 24 Oct 2023 10:00:34 +0000 Subject: Connectionists: [CfP] 2nd Call for Participation: MediaEval 2023 Predicting Video Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* 2nd CALL FOR PARTICIPATION & DEVELOPMENT DATA RELEASE Predicting Video Memorability Task 2023 MediaEval Benchmarking Initiative for Multimedia Evaluation https://multimediaeval.github.io/editions/2023/tasks/memorability/ ******************************************************* Register to participate by filling in the MediaEval 2023 Registration form: https://docs.google.com/forms/d/e/1FAIpQLSfu1TfBZ5PKN1MdTrJFjEKt7r2_qTZw-_WBG8VTgSpT7JWi9A/viewform ******************************************************* The Predicting Video Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. Participants will be provided with an extensive dataset of videos with memorability annotations, related information, pre-extracted state-of-the-art visual features, and electroencephalography (EEG) recordings. The ground truth has been collected through recognition tests, and, for this reason, reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the dataset comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. The outputs of the prediction models ? i.e., the predicted memorability scores for the videos ? will be compared with ground truth memorability scores using classic evaluation metrics (e.g., Spearman?s rank correlation). ******************************************************* Generalization subtask 1 ******************************************************* The aim of the Generalization subtask is to check system performance on other types of video data. Participants will train their system on one of the two sources of data we provide and will test them on the other source of data. ******************************************************* EEG-based prediction subtask 2 ******************************************************* The aim of the Memorability-EEG pilot task is to promote interest in the use of neural signals?either alone, or in combination with other data sources?in the context of predicting video memorability by demonstrating what EEG data can provide. The dataset will be a set of features pre-extracted from the EEG from subjects as they viewed the videos, for a subset of videos from task 1. This task requires participants to automatically predict if a person will remember a video. Participants are required to generate automatic systems that predict if a person will remember a new video based on the given video dataset and their EEG record. *********************** Target communities *********************** Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, and machine learning (although not limited to these areas). ****************************** Workshop ****************************** Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held in Bergen, Norway with opportunity for online, on 12-13 January 2023. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org). ****************************** Important dates (tentative) ****************************** 25 August 2023: Data release 30 November 2023: Runs due and results returned. Exact dates to be announced. 8 December 2023: Results returned 15 December 2023: Working notes paper 1-2 February 2024: 14th Annual MediaEval Workshop, Collocated with MMM 2024 in Amsterdam, Netherlands and also online. *********************** Task coordination *********************** Alba Garc?a Seco de Herrera, Sebastian Halder, Ana Matran-Fernandez, University of Essex, UK; Mihai Gabriel Constantin, Bogdan Ionescu, University Politehnica of Bucharest, Romania; Lorin Sweeney, Graham Healy, Alan Smeaton, Dublin City University, Ireland; Claire-H?l?ne Demarty, InterDigital, R&I, France; Camilo Fosco, Massachusetts Institute of Technology Cambridge, Massachusetts, USA; Rukiye Savran Kiziltepe, Karadeniz Technical University, Turkey. On behalf of the Organisers, Mihai Gabriel Constantin -------------- next part -------------- An HTML attachment was scrubbed... URL: From eero at cns.nyu.edu Tue Oct 24 12:05:05 2023 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Tue, 24 Oct 2023 12:05:05 -0400 (EDT) Subject: Connectionists: Doctoral studies in Computational/Theoretical Neuroscience at NYU Message-ID: <202310241605.39OG55b25959@calaf.cns.nyu.edu> New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * SueYeon Chung (also in the FlatIron Institute) - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli (also in the FlatIron Institute) - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (also in the FlatIron Institute) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the FlatIron Institute) - Neural computation and connectomics. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dima Rinberg - Olfaction, sensory information processing, perception. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Marcelo Mattar - Learning and planning in the brain/mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Data Science (deadline: 5 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 5 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision. From yaser.amd at gmail.com Tue Oct 24 18:38:33 2023 From: yaser.amd at gmail.com (Yaser Jararweh) Date: Wed, 25 Oct 2023 01:38:33 +0300 Subject: Connectionists: =?utf-8?q?Final_CFP=3AFoundation_and_Large_Langua?= =?utf-8?b?Z2UgTW9kZWxzIChGTExN4oCLIDIwMjMpLCBBYnUgRGhhYmksIFVBRS4g?= =?utf-8?q?November_22-23=2C_2023=2E?= Message-ID: The International Symposium on Foundation and Large Language Models (FLLM 2023) https://fllm-conference.org/FLLM2023/index.php Abu Dhabi, UAE. November 22-23, 2023. (Co-located with SNAMS and Technically Co-Sponsored by IEEE) *FLLM Call for Papers:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Symposium on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics related to FLLMs, with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - *Future Directions* - Generative AI - Explainability - Federated Learning for FLLM - Data Augmentation - Natural Language Processing Applications - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - *Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Submission Guidelines:* Papers submitted to FLLM must be the original work of the authors. They may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to FLLM. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately. All papers that are accepted, registered, and presented in FLLM will be submitted to IEEEXplore for publication with SNAMS proceedings. *Important Dates* - *Paper Submission Deadline: 28-October-2023 (Firm and Final) * - Notification of acceptance: 8-November -2023 - Camera-ready Submission: 15-November-2023 Please send any questions about FLLM to Yaser Jararweh: yijararweh at just.edu.jo -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at gmail.com Wed Oct 25 03:52:55 2023 From: boris.gutkin at gmail.com (Boris Gutkin) Date: Wed, 25 Oct 2023 09:52:55 +0200 Subject: Connectionists: PostdoctoralAssociate Position in Cardiac-Cortical Circuit Modelling. Group for NeuralTheory and LNC2, Ecole Normale Superieure, Paris. Message-ID: Postdoctoral Associate Position in Cardiac-Cortical Circuit Modelling. Group for Neural Theory and LNC2, Ecole Normale Superieure, Paris. A three-year post-doctoral position in theoretical neuroscience is open to explore the mechanisms of interaction between interoceptive cardiac and exteroceptive tactile inputs at the cortical level. We aim to develop data-based computational models of cardiac and somatosensory cortical circuit dynamics. Building on these models we will determine the conditions under which interactions between exteroceptive and interoceptive inputs occur and which underlying mechanisms (e.g., phase-resetting, gating, phasic arousal,..) best explain experimental data. The ideal candidate should have a doctoral degree in quantitative discipline (e.g. applied mathematics, physics, engineering) and previous experience with dynamic system approaches to neural function , modelling cortical neural circuits, excellent programming skills coupled with an interest for, and a willingness to learn about, interoception and its influences in perception and cognition. The candidate will have a unique opportunity to join the project at its very inception and take a key role in the technical and conceptual development. The postdoctoral fellow will be based at the Group for Neural Theory and LNC2 , in Boris Gutkin?s team with strong interactions with Catherine Tallon-Baudry?s team. LNC2 is located in the center of Paris within the Cognitive Science Department at Ecole Normale Sup?rieure , with numerous opportunities to interact with the Paris scientific community at large, in a stimulating and supportive work environment. Group for Neural Theory provides a rich environment and local community for theoretical neuroscience. Lab life is in English, speaking French is not a requirement. Salary according to experience and French regulations with health and social benefits. Starting date is first semester 2024[CTB1] <#_msocom_1> . Informal enquiries and applications (CV, motivation letter and contacts for reference) should be sent [CTB2] <#_msocom_2> boris.gutkin at gmail.com and catherine.tallon-baudry at ens.psl.eu. Applications will be evaluated on the fly, the position remaining open until filled. ------------------------------ [CTB1] <#_msoanchor_1>I am afraid we cannot hope to have someone earlier than spring? [CTB2] <#_msoanchor_2>and catherine.tallon-baudry at ens.psl.eu up to you to decide -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Wed Oct 25 06:13:32 2023 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Wed, 25 Oct 2023 12:13:32 +0200 Subject: Connectionists: Reminder: Rethinking naturalistic behaviour, Dolimites, Feb 2024 Message-ID: Dear colleagues! We would like to remind you that the deadline for application to our Workshop if ideas in Neuroscience is November 20th. We are also happy to let you know that we will host one more lecturer - Nedah Nemati from Columbia! For the first workshop, we will meet in Dolomites mountains, Italy, to discuss *naturalistic behavioral paradigms in neuroscience*. What is really *natural*? What do we know about the ecological niches of our mice, rats, or fishes? Does every study need to be ethologically relevant? What really do we lose when we head-fix our mouse? Can we really categorize brain activity as natural or unnatural? We will discuss those topics in our workshop that will be held *February 22-25th 2024* in Dolomites! You will find *more information and the application form on our webpage - https://nenckiopenlab.org/dolomites/ .* For more updates join us on Twitter: https://twitter.com/nencki or Bluesky - @openlab .bsky.social Best! Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.coraci at imtlucca.it Wed Oct 25 06:42:39 2023 From: davide.coraci at imtlucca.it (Davide Coraci) Date: Wed, 25 Oct 2023 12:42:39 +0200 Subject: Connectionists: WasON survey -- call for participants Message-ID: Dear Colleagues/Researchers/Professors, I'm Davide Coraci from the IMT School for Advanced Studies Lucca (Italy) and I'd like to share with you the *WasON** survey*, a project developed by the SANe and the MInD units (MoMiLab research group at IMT). The aim of the study is to investigate how *neuroscientists* and researchers with some familiarity with neuroimaging techniques draw associations between *cognitive processes* or psychological states and *functional magnetic resonance imaging (fMRI) data* observed experimentally. Also, with this brief test, you can assess your ability to predict the task that participants are performing in the scanner by looking at their brain activation. We are recruiting participants worldwide and it would be fantastic if you could take part in the study by completing the questionnaire you can find here: https://www.sane-elab.eu/NRIA/welcome.php. The questionnaire can be completed through PC or smartphone (however, the use of the PC is warmly suggested to visualize the fMRI maps better). Collected data will be completely *anonymous*. Once the questionnaire is finished, you can *check your accuracy* and decide to continue with another set of questions. In this case, please do not close or restart the session, otherwise the system will create another participant ID. We ask you to complete the questionnaire individually. However, after completing the survey you may want to compare your score with one of your lab mates and colleagues. Feel free to forward the link to anyone you think could be interested. If you have any questions or just want to be updated with the results of the study, please do not hesitate to contact me (davide.coraci at imtlucca.it). Thank you very much for your availability and your time. All the best, Davide Coraci -------------- next part -------------- An HTML attachment was scrubbed... URL: From japkowic at american.edu Wed Oct 25 18:39:23 2023 From: japkowic at american.edu (Nathalie Japkowicz) Date: Wed, 25 Oct 2023 22:39:23 +0000 Subject: Connectionists: Open Rank Position: American University In-Reply-To: References: Message-ID: Reminder: the deadline for this position is November 1, 2023. Position Announcement: Open Rank Department of Computer Science College of Arts and Sciences American University The Department of Computer Science in the College of Arts and Sciences at American University invites applications for a full-time, open-rank, tenure-line position beginning August 1, 2024. Applicants should have a PhD or an anticipated PhD completion by August 2024 in Computer Science or related fields. Depending on experience and qualification, the appointee to this position may be recommended for tenure at the time of hiring. Candidates can apply at the assistant, associate, or full professor level and we welcome applications from both academic and nonacademic organizations. We are looking for candidates who are excited at the prospect of joining a growing department where they will be able to make their mark. Preference will be given to candidates with a record of high-quality scholarship. For candidates applying at the associate or full professor level, a record of external funding is also expected. The committee will consider candidates engaged in high-quality research in any area of Computer Science related to Artificial Intelligence (E.g., Natural Language Processing, Machine Learning, Network Analysis, Information Visualization), Theoretical Computer Science (Computational Theory, Graph Theory, Algorithms), Cybersecurity, and other traditional areas of Computer Science (E.g., Software Engineering, Database Systems, Graphics, etc.). The University has areas of strategic focus for research in Data Science and Analytics, Health, Security, Social Equity, and Sustainability. Applicants from historically underrepresented minority and identity groups are strongly encouraged to apply. In addition to scholarship and teaching, responsibilities will include participation in department, school, and university service activities. Attention to Diversity, Equity and Inclusion (DEI) in all activities within the academic environment are expected. Salary and benefits are competitive. An overview of the benefits offered by American University can be found at https://www.american.edu/hr/benefits/. Review of applications will begin on November 1. Please submit applications via Interfolio : http://apply.interfolio.com/130734 .Please include a letter of application, curriculum vitae, list of three references, recent teaching evaluations (when possible), a diversity statement, and copies of recent published papers or working papers. Please contact Department Chair Nathalie Japkowicz at japkowic at american.edu if you have any questions. American University is a private institution located in the nation?s capital and within easy reach of the many centers of government, business, research, and the arts. For more information about American University, visit www.american.edu. The Department of Computer Science is a small but exciting department with a growing student population and strong research achievements. American University has identified Computer Science as one of its targets for growth. Computer Science also falls within several areas of strategic focus identified in the University?s strategic plan. Along with the Department of Mathematics and Statistics, the Department of Physics, the Game Center, and the Entrepreneurship and Innovation Incubator, the Department of Computer Science is located in the new Don Myers Technology & Innovation Building. Computer Science currently offers an undergraduate and a Master?s program with four different tracks (Applied, Data Science, Game, and Cybersecurity). Learn more about the College of Arts and Sciences at https://www.american.edu/cas/ and about the Department of Computer Science at https://www.american.edu/cas/cs/. American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual?s genetic information or any other bases under federal or local laws (collectively ?Protected Bases?) in its programs and activities. Hiring offers for this position are contingent on the successful completion of a background check. --- Nathalie Japkowicz, Ph.D. Links to Publications Professor and Chair Google Scholar Department of Computer Science DBLP American University http://fs2.american.edu/japkowic/www/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mturner at flatironinstitute.org Wed Oct 25 14:47:16 2023 From: mturner at flatironinstitute.org (Matthew Turner) Date: Wed, 25 Oct 2023 14:47:16 -0400 Subject: Connectionists: Postdoctoral Fellow Positions at CCN, Flatiron Institute In-Reply-To: References: Message-ID: *Flatiron Research Fellow (Postdoctoral Fellow), NeuroAI and Geometric Data Analysis* *Description* Applications are invited for Flatiron Research Fellowships (FRF) in the NeuroAI and Geometric Data Analysis Group (SueYeon Chung, PI) at the Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation, whose focus is on understanding computation in the brain and artificial neural networks by: (1) analyzing geometries underlying neural or feature representations, embedding and transferring information, and (2) developing neural network models and learning rules guided by neuroscience. To do this, the group utilizes analytical methods from statistical physics, machine learning theory, and high-dimensional statistics and geometry.The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function ? both in health and in disease. CCN takes a ?systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN?s current research groups include computational vision (Eero Simoncelli , PI), neural circuits and algorithms (Dmitri ?Mitya? Chklovskii , PI), neuroAI and geometric data analysis (SueYeon Chung , PI), and statistical analysis of neural data (Alex Williams , PI), and is planning to expand the number of research groups in the near term. Interested candidates should review the CCN public website for specific information on CCN?s research areas. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. Please note that Alex William?s statistical analysis of neural data group is not recruiting at CCN in 2023. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRF receive a research budget and have access to the Flatiron Institute?s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. Review of applications for positions starting between July and October 2024 will begin in November 2023. For more information about life at the Flatiron Institute, visit https://www.simonsfoundation.org/flatiron/careers. Qualifications *MINIMUM QUALIFICATIONS* Education PhD in computational neuroscience or a relevant technical field such as electrical engineering, machine learning, statistics, physics, or applied math. Related Skills & Other Requirements - Flexible multi-disciplinary mindset; - Strong interest and experience in the scientific study of the brain; - Demonstrated abilities in analysis, software and algorithm development, modeling and/or scientific simulation; - Ability to do original and outstanding research in neuroscience; - Ability to work well independently as well as in a collaborative team environment. Selection Criteria: Applicants must have a PhD in a related field or expect to receive their PhD before the start of the appointment. Applications will be evaluated based on 1) past research accomplishments 2) proposed research program 3) synergy of applicant?s expertise and research proposal topic with existing CCN staff and research programs. *COMPENSATION AND BENEFITS* The full-time annual compensation for this position is $90,000. In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. Application Instructions - Required Application Materials - Cover letter (optional); - Curriculum Vitae with bibliography; - Research statement of no more than three pages describing past work and proposed research program. Applicants are encouraged to discuss the broad impact of the past and proposed research on computational neuroscience. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. - Three (3) letters of recommendation *For more information and to apply, please visit: https://apply.interfolio.com/134616 * Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Co-Chair, Flatiron Institute Professional Development Committee Co-Chair, Pride at SF Employee Resource Group Flatiron Institute 917.363.1095 mobile mturner at flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Wed Oct 25 16:47:46 2023 From: phitzler at googlemail.com (Pascal Hitzler) Date: Wed, 25 Oct 2023 15:47:46 -0500 Subject: Connectionists: AI postdoc position at K-State CAIDS Message-ID: We have an opening for an (independent) postdoc position at Kansas State University, aligned with the Center for Artificial Intelligence and Data Science (CAIDS): * We are looking for a postdoc who will work independently and is interested in both building their own research profile and in working with CAIDS faculty on joint research. * In terms of research topics, alignment with interests already represented in CAIDS is highly preferred - see https://caids.cs.ksu.edu/ for information about the center * We are looking for a candidate who is interested in staying at least for a few years. If anybody has any questions about this, they can reach out to me as the CAIDS director at hitzler at ksu.edu. Job URL: https://careers.k-state.edu/cw/en-us/job/516117/research-scholar We can hire even if the person has not entirely completed their PhD yet, but expect to graduate soon (say, by summer 2024 or so). Thanks! Pascal. -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net From k.wong-lin at ulster.ac.uk Wed Oct 25 17:33:53 2023 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Wed, 25 Oct 2023 21:33:53 +0000 Subject: Connectionists: Postdoctoral Research Associate Position in Computational Neuroscience (Computational Modelling of Decision Making) Message-ID: Applications are invited for an externally funded Postdoctoral Research Associate position at the Intelligent Systems Research Centre (ISRC) in Ulster University, UK. The successful candidate will develop and apply computational modelling, and theoretical and analytical techniques to understand brain and behavioural data across primate species, and to apply biologically based neural network modelling to elucidate mechanisms underlying perceptual decision-making. The duration of the position is 24 months, from January 2024 till end of 2025. The personnel will be based at the ISRC in Ulster University, working with Prof. KongFatt Wong-Lin and his team, while collaborating closely with international collaborators in the USA and the Republic of Ireland, namely, Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Prof. S. Shushruth at University of Pittsburgh (USA). The ISRC is dedicated to developing a bio-inspired computational basis for AI to power future cognitive technologies. This is achieved through understanding how the brain works at multiple levels, from cells to cognition and apply that understanding to create models and technologies that solve complex issues that face people and society. All applicants should hold a degree in in Computational Neuroscience, Computational Biology, Neuroscience, Computing, Engineering, Mathematics, Data Science, Physical Sciences, Biology, or a cognate area. Apply online: https://my.corehr.com/pls/coreportal_ulsp/erq_jobspec_version_4.display_form?p_company=1&p_internal_external=E&p_display_in_irish=N&p_applicant_no=&p_recruitment_id=023762&p_process_type=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y Closing date for receipt of completed applications: 8th November 2023. Job Ref: 023762. For any informal enquiries regarding this position, please contact KongFatt Wong-Lin; email: k.wong-lin at ulster.ac.uk ; website: https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Wed Oct 25 20:35:10 2023 From: antona at alleninstitute.org (Anton Arkhipov) Date: Thu, 26 Oct 2023 00:35:10 +0000 Subject: Connectionists: Allen Institute Modeling Software Email List Message-ID: Dear Colleagues, Would you like to know what's new in our modeling work and software modeling tools at the Allen Institute? If yes, please sign up here to receive announcements a few times a year. We will be sharing messages about * Latest research on modeling brain circuits at the Allen Institute * New features and capabilities of BMTK, SONATA, and VND * Information about new job openings and important events at the Allen Institute We look forward to keeping in touch with you! Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona at alleninstitute.org alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbjerva at cs.aau.dk Thu Oct 26 05:38:22 2023 From: jbjerva at cs.aau.dk (Johannes Bjerva) Date: Thu, 26 Oct 2023 09:38:22 +0000 Subject: Connectionists: Postdoctoral Fellowship - NLP, 2 years, Copenhagen Message-ID: We are hiring a 2-year postdoc at the Copenhagen campus of Aalborg University. The project is on NLP in an educational context, with the goal of exploring methodology for automated generation of feedback, tailored to specific students. There is a substantial amount of freedom in terms of the methodological research direction. The position is funded by a Villum Synergy project, hence in addition to core NLP research, there will be an opportunity to publish in venues focused on learning technologies. You will be joining a growing department (with annual hiring rounds for assistant professors), and a fun NLP team with ph.d.s and postdocs focusing on low-resource NLP (https://typnlp.github.io/). * Application deadline: 6 November 2023 * Interviews likely in mid November * Starting date: 1 January 2024 (or shortly thereafter) * Quality of life in Copenhagen is high, and getting around by bike is both safe and easy - the AAU campus in Copenhagen is located by the waterfront, close to the city, and easily accessible both by bike and public transport. For more details and to apply, see the official call here: https://www.vacancies.aau.dk/scientific-positions/show-vacancy?vacancyId=1215794 Interested applicants are encouraged to reach out to me at jbjerva at cs.aau.dk. Best, Johannes Johannes Bjerva Associate Professor | Natural Language Processing | Department of Computer Science Team Lead for CS CPH Aalborg University Copenhagen Office 2.2.089, A.C. Meyers V?nge 15, 2450 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From Laura.Cariola at ed.ac.uk Thu Oct 26 07:00:30 2023 From: Laura.Cariola at ed.ac.uk (Laura Cariola) Date: Thu, 26 Oct 2023 11:00:30 +0000 Subject: Connectionists: Call for Contributors: THE HANDBOOK OF LANGUAGE AND MENTAL HEALTH Message-ID: Dear Colleague, ?? Hope you are well. Currently my colleague Dr. Mike Birch and I are preparing a proposal for?The Handbook of Language and Mental Health (Bloomsbury Press). We are still seeking contributions with a focus on AI, large data, chatbots etc and mental health. If you are interested to contribute, please send us a?chapter proposal of up to 300 words with an author?s bio (50 words per author) to Dr. Laura Cariola (Laura.Cariola at ed.ac.uk) and Dr. Mike Birch (michael.birch at mcla.edu). Please do not hesitate to get in contact if you have any questions or require more information. We are looking?forward to hearing back from you.?Please share this flyer with your colleagues and networks. ? With very best wishes,? ? Laura Cariola and Mike Birch -------Call?for?Chapter?Proposals------- Handbook of Language and Mental Health Editors, Dr Laura A. Cariola (University of Edinburgh, Clinical and Health Psychology) and Dr Mike Birch (Massachusetts College of Liberal Arts) Bloomsbury is pleased to announce the development of a very exciting new project: The Handbook of Language and Mental Health. The Handbook is a single-volume, edited work of reference, mainly aimed at a scholarly market. The book will present a theoretical and research-based state-of-the art comprehensive overview of an interdisciplinary field by bringing together a range of critical and pluralistic perspectives. The chapters will be written by leading and emerging scholars from around the globe for a wide range of disciplines, including linguistics, sociology, psychology, media, culture, psychotherapy, arts, disability studies, and literature. The Handbook aims to include chapters on a range of topics that critically consider key historical themes and enduring debates, main theoretical and philosophical stances, examine main methodologies paradigms and scholarly traditions, and consider future trajectories within the field of language and mental health as well as the implications to individuals with lived experience. The Handbook is intended to be one of the most significant publications available for scholars in these fields. We are currently seeking contributors for The Handbook of Language and Mental Health, so please find below some relevant information on Handbooks. Wish List of Chapter Topics: * Good research practice and methodological approaches, such as ethics in language and mental health research, qualitative and quantitative methodological approaches, and ethics and methods of data collection. * Language and mental health conditions, such as the language of the DSM, language of specific mental health disorders [e.g., depression and suicide; ADHD, dementia; neurodiversity; psychosis; eating disorders; language in psychotherapy and counselling; language and typical and atypical child development]. * Pathologising, stigmatising mental health discourses, and best representation practices. Stigmatising media representations, focusing on specific populations including LGBTQI+, misogyny, migrants, refugees and asylum seekers, ethnicity, and race as well as alternative and stigma-free portrayals. * AI, language and mental health, such as machine learning, large language models, Web and Smartphone Apps, chatbots and online therapy. * Mental health in cultural studies and the arts, such as language and mental health in literature, art, applied theatre, popular music. This list is not exhaustive and authors are welcome to propose another chapter topic if it is relevant to the theme of language and mental health. Please send your book chapter proposal of up to 300 words with an author?s bio (50 words per author) to Dr. Laura Cariola (Laura.Cariola at ed.ac.uk) and Dr. Mike Birch (michael.birch at mcla.edu). Submission deadline of book chapter proposal: 15 November 2023 Tentative publication date of handbook: 2026 Dr. Laura A. Cariola CPsychol Programme Director MSc Mental Health in Children and Young People: Psychological Approaches (Online Learning) | Lecturer in Applied Psychology (ODLP) | The University of Edinburgh | Clinical and Health Psychology | School of Health in Social Science | Old Medical School | Elsie Inglis Quad | EdinburghEH8 9AG | Laura.Cariola at ed.ac.uk | Website | [cid:76a0c3ce-d5b4-4dd1-94cc-d91a583570f0][cid:ec8d49fc-76dd-4541-9de5-788925d98112][cid:a0431bf6-8377-44f7-a87e-d58ef82128b0] The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: Call for Contributions_Handboook Language and MH.pdf Type: application/pdf Size: 224447 bytes Desc: Call for Contributions_Handboook Language and MH.pdf URL: From kc.w at cityu.edu.hk Thu Oct 26 03:03:09 2023 From: kc.w at cityu.edu.hk (Prof. WONG Ka Chun) Date: Thu, 26 Oct 2023 07:03:09 +0000 Subject: Connectionists: PhD Fellowship (US$ 42,460 per year, tax-free) Message-ID: Dear PhD Applicants, The Fellowship provides an annual stipend of HK$331,200 (approximately US$42,460) and a conference and research-related travel allowance of HK$13,800 (approximately US$1,760) per year for each awardee for a period up to three years. 350 PhD Fellowships will be awarded in the 2024/25 academic year*. Step 1: Applicants should first submit an initial application at the RGC's Online Application System (OAS) ( [[www.rgc.edu.hk/hkphd)]www.rgc.edu.hk/hkphd)]www.rgc.edu.hk/hkphd)]www.rgc.edu.hk/hkphd) to obtain a RGC reference number (RGC's deadline: Nov 2023 [12.00.00 GMT +8 hours]).. Step 2: Applicants are then required to submit full application, together with supporting documents, to CityU's Online Admission System (https://www.cityu.edu.hk/pg/research-degree-programmes/apply-now), and quote the RGC reference number (CityU's deadline: before Nov 2023). Please put down "Ka-Chun Wong" as your potential supervisor in your applications (i.e. please type "Ka-Chun Wong" in the question "If you have contact any CityU academic staff member, please provide his/her fullname." in the *Other Information* section in the CityU(HK) graduate school application system); otherwise, your applications may not reach us. Announcement of Fellowship results by the RGC: March 2024. Firm admission offer with regular postgraduate studentship will be given to selected CityU's nominees, even if they are not awarded the Fellowship by the RGC. The admission offer will be confirmed by the University in January 2024. Should you wish to know more about the Scheme, please visit our website ( http://www.cityu.edu.hk/sgs/hkphd/index.htm) or contact School of Graduate Studies by sgfellow at cityu.edu.hk Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong kc.w at cityu.edu.hk https://www.cityu.edu.hk/stfprofile/kc.w.htm Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at wustl.edu Thu Oct 26 12:34:42 2023 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Thu, 26 Oct 2023 16:34:42 +0000 Subject: Connectionists: Faculty position at Washington University in St Louis Message-ID: Assistant Professor Position in Computational Neuroscience The Department of Neuroscience at Washington University School of Medicine (https://neuroscience.wustl.edu) is currently recruiting investigators with the passion to create knowledge, pursue bold visions, and challenge canonical thinking as we expand into our new 600,000 sq ft purpose-built neurosciences research building. We are now seeking a tenure-track investigator at the level of Assistant Professor to develop an innovative research program in Theoretical/Computational Neuroscience. Applicants should have a strong background in physics, mathematics, engineering, computer science, or a related field and hold a PhD. The successful candidates will join a thriving theoretical/computational neuroscience community at Washington University, including the new Center for Theoretical and Computational Neuroscience. In addition, the Department also has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. We are particularly interested in outstanding researchers who are both creative and collaborative. The Department?s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. To apply, submit an application packet including a cover letter describing your interest in our Department, curriculum vitae, a research statement (of no more than 3 pages) to the Faculty Opportunities Portal and arrange for three confidential letters of recommendation to be sent to neurosearch at wustl.edu c/o Professor Linda J. Richards, Head, Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110. The review of applications will begin on November 6, 2023. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill at wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd -------------- next part -------------- An HTML attachment was scrubbed... URL: From Bill at BillHowell.ca Thu Oct 26 15:49:57 2023 From: Bill at BillHowell.ca (www.BillHowell.ca) Date: Thu, 26 Oct 2023 13:49:57 -0600 Subject: Connectionists: Consciousness, chatGPT, and Grossberg's "Conscious Mind, Resonant Brain" Message-ID: <66571382ff00cdf462e6c9491379b249310ded8b.camel@BillHowell.ca> I am at the initial stages of going through Stephen Grossberg's 2021 book "Conscious Mind, Resonant Brain". One thing that struck me last March-April2023 was a very vague resemblance of the basic "building block" of Transformer Neural Networks (TrNNs) and some of Grossberg's work dating back to 1972-99, and greatly extended since then. Granted, TrNNs lack essential features of Grossberg's architectures, so I'm not expecting a lot from them. Perhaps the large-scale TrNNs Three questions that came to mind back in March-April were : 1. Do "Large Language Models (LLMs) (such as chatGPT, LaMDA, etc) already exhibit a [protero, incipient] consciousness, in particular given the rough similarity of the basic unit of "Transformer Neural Networks" (TrNNs) to one of Grossberg's general "modules". The latter are proposed as a small number of units that are readily recombined with slight modifications as a basis for much of brain architecture, much like the small number of concepts in physics can be applied across a broad range of themes? TrNN experts were categorical in emphasizing that sentience (here I am using that term as being "somewhat similar" to consciousness) was not built in (cannot arise), but might there be something more to this? 2. How difficult would it be to augment "Transformer Neural Networks" (TrNNs) with Grossberg's [concept, architecture]s, including the emergent systems for consciousness? Perhaps this would combine the scalability of the former with the [robust, extendable] foundations of the latter, which is supported by [broad, diverse, deep] : data from [neuroscience, psychology] success in real world advanced [science, engineering] applications decades of pioneering work in the mathematical basis of Neural Networks (non-linear networks, Adaptive Resonance Theory, neural [architecture, function, process]s, etc) 3. Are current (semi-manual) "controls" of "Large Language Models (LLMs) going in the direction of machine consciousness, without those involved being aware of this? Will "controls" ultimately require machine consciousness as one of their components, in particular for [learning, evolution] in a stable and robust manner? Do you have any thoughts on this? I still need to do my homework on those questions, but only after I get further into the book, and build (hopefully) some Spiking Neural Network (SNN) code to implement a few basic ideas from Grossberg. Gail Carpenter has done some work with SNNs, so I am looking forward to reading through that. webSite with details about the book: perhaps helpful for readers and those considering its purchase For my own use as an aid to going through the book, I spent considerable time to build : * directories containing [html caption, image]s * a webPage of "Themes" created from the captions (searchable) * a few webPages to collect information related to consciousness, but more importantly providing some detail about the overall content of Grossberg's book. I felt that this may be helpful for others who are reading through the book. I use it especially to open multiple images at a time for easy comparison, and will build a siple script to do that automatically for selected themes. Having permission to post images from Grossberg's book to my webSite, I have put up a very early version so others might benefit. Here are some quick links : * list of [figure, table]s, with links to view captioned figures and tables * a simple menu listing webPages on the webSite * initial list of a variety of themes from the book, currently generated by a simple bash script (needs improvement) All of the above are in a very [initial, incomplete] stage, and it will take months to progress. I am actually more interested in the "non-conscious" part of Grossberg's work, the lessons from that, and how that ties in with consciousness, than I am with the theme of consciousness alone. Grossberg does the best work that I know of for that. Furthermore, some of my priorities actually go in the other direction : * what I call callerID-SNNs ("what if", not even a hypothesis yet) * [Mendellian, Lamarckian] heredity questions. Mr. Bill Howell, Bill at BillHowell.ca 1-587-707-2027 http://www.BillHowell.ca/ (browser shows root directory of webSite) http://www.BillHowell.ca/home.html (start webPage browsing) P.O. Box 299, Hussar, Alberta, T0J1S0 member - International Neural Network Society (INNS), IEEE Computational Intelligence Society (IEEE-CIS), WCCI2020 Glasgow, Publicity Chair mass emails, http://wcci2020.org/ Retired 2012: Science Research Manager (SE-REM-01) at Natural Resources Canada, CanmetMINING, Ottawa -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.mcdougal at yale.edu Fri Oct 27 11:09:15 2023 From: robert.mcdougal at yale.edu (McDougal, Robert) Date: Fri, 27 Oct 2023 15:09:15 +0000 Subject: Connectionists: Postdoctoral position in computational neuroscience methods (NEURON simulator) Message-ID: The McDougal lab at Yale University seeks one or two highly motivated Postdoctoral Associates to advance the frontiers of neuroscience simulation. In addition to papers, etc, this work will be shared with the community in the form of enhancements to the NEURON simulator. Related lab projects include: combining machine learning and mechanistic modeling, multisimulation (interoperation with other tools), high-resolution simulations of subcellular chemical dynamics, and algorithm development (GPUs, initialization, performance enhancements). The Postdoctoral Associate will lead one or more of these projects and will present this work at conferences, in publications, and in the form of open-source software. Mentorship and career development opportunities will be tailored to the Postdoctoral Associate?s interests. Applicants should hold or be about to complete a PhD in a quantitative field (e.g., mathematics, computer science), neuroscience, or a related field. Strong programming skills in Python and C++ are essential, as is scientific excellence as demonstrated through publication history. Experience with the NEURON simulator, in machine learning, numerical methods, and/or GPU computing is desirable, but not required. The successful candidate will join the McDougal lab (Biostatistics/Health Informatics, Computational Biology and Bioinformatics, Wu Tsai Institute, Biomedical Informatics and Data Science). We are major contributors to the development of the NEURON simulator and run the ModelDB model discovery platform. We additionally have a wide-range of collaborations at Yale and beyond, applying informatics methods to solve biomedical challenges. Please apply online: http://apply.interfolio.com/135170. Interested individuals should submit a CV, cover letter, and contact information for three professional references. Review of applications will begin immediately and will continue until the position is filled. Initial appointment is for one year with the possibility of renewal. Questions regarding this position should be directed to Dr. Robert McDougal at: robert.mcdougal at yale.edu Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmanzoni at units.it Sun Oct 29 12:41:00 2023 From: lmanzoni at units.it (MANZONI LUCA) Date: Sun, 29 Oct 2023 16:41:00 +0000 Subject: Connectionists: [CFP, Extended Submission Deadline] EuroGP 24 - the 27th European Conference on Genetic Programming Message-ID: *** Apologies for cross-posting *** ********************************************************************************* Last Call for Papers (Extended Submission Deadline): EuroGP 24 - the 27th European Conference on Genetic Programming https://www.evostar.org/2024/eurogp/ 3-5 April 2023, Aberystwyth, Wales, UK held as part of EvoStar (http://www.evostar.org) ** EuroGP is CORE Rank B ** Submission deadline (extended): 15 November 2023 AoE ********************************************************************************* EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide explicitly devoted to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. **** EvoStar **** EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences: EuroGP, EvoApplications, EvoCOP, and EvoMUSART. **** Topics **** Topics to be covered include, but are not limited to: Algorithms, representations, and operators for GP Innovative applications of GP Tree-based, linear, graph-based, and grammar-based GP Theoretical developments GP performance, behavior, and benchmarking Multiple populations, coevolution, and modularity in GP Multi-objective GP Explainability and interpretability in GP Genetic improvement programming GP for software engineering GP for continuous control and evolutionary robotics Evolutionary design Evolvable hardware Parallel GP Unconventional GP Hybridization of GP with other methods **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer-reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 14 pages plus references Submission link: https://easychair.org/conferences/?conf=evo2024 The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera ready version of their manuscripts The authors of accepted papers will have to improve their papers on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference and present the work. The highest quality papers may also be invited to submit extensions for publication in a special issue of a prestigious international journal. **** Organization **** Program Chairs: Mario Giacobini, University of Torino, Italy Bing Xue, Victoria University of Wellington, New Zealand Publication Chair: Luca Manzoni, University of Trieste, Italy For further information please visit https://www.evostar.org/2024/eurogp/ Bing Xue and Mario Giacobini EuroGP PC Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From burcu.urgen at gmail.com Sat Oct 28 08:43:06 2023 From: burcu.urgen at gmail.com (=?UTF-8?Q?Burcu_Ay=C5=9Fen_=C3=9Crgen?=) Date: Sat, 28 Oct 2023 15:43:06 +0300 Subject: Connectionists: Open-Rank Position, Department of Neuroscience at Bilkent University Message-ID: Bilkent University invites applications for multiple open-rank faculty positions in the Department of Neuroscience. The department plans to expand research activities in certain focus areas and accordingly seeks applications from promising or established scholars who have worked in the following or related fields: - Cellular/molecular/developmental neuroscience with a strong emphasis on research involving animal models. - Systems/cognitive/computational neuroscience with a strong emphasis on research involving emerging data-driven approaches, including artificial intelligence, robotics, brain-machine interfaces, virtual reality, computational imaging, and theoretical modeling. Candidates with a research focus in those areas whose research has a neuroimaging component are particularly encouraged to apply. The Department?s interdisciplinary Graduate Program in Neuroscience that offers Master's and PhD degrees was established in 2014. The department is affiliated with Bilkent?s Aysel Sabuncu Brain Research Center (ASBAM) and the National Magnetic Resonance Research Center (UMRAM). Faculty affiliated with the department has the privilege to access state-of-the-art research facilities in these centers, including animal facilities, cellular/molecular laboratory infrastructure, psychophysics laboratories, eyetracking laboratories, EEG laboratories, a human-robot interaction laboratory, and two MRI scanners (3T and 1.5T). Bilkent is located in Ankara, Turkey's metropolitan capital, with daily direct flights to Istanbul and other major European cities. Bilkent University provides faculty members and their families with free housing, access to private health insurance, International Baccalaureate schooling options for dependents, and other benefits. Qualifications and Responsibilities Applicants should have a PhD in neuroscience or a related discipline and should have an excellent publication record (requirements vary with rank). A demonstrated ability or the potential to secure external research funding will be a strong advantage. Faculty members are expected to maintain productive research programs. Successful applicants will supervise PhD and Master's students and teach during the Fall and Spring semesters with no teaching requirement during summer. Appointment The full-time appointments can begin as soon as a successful applicant is identified, although the starting date is negotiable. Salary will be internationally competitive and commensurate with qualifications and experience. Application Procedure Applicants should submit 1. a cover letter; 2. CV; 3. research statement; 4. teaching statement; 5. pdf copies of 3 most important publications; and 6. contact information for 3-5 professional references. Review of applications will commence on November 1, 2023, and continue until the positions are filled. *Interested candidates can contact us to schedule an appointment during the SfN annual meeting, where some members of the department will be present.* Inquiries can be directed to nsc-admin at bilkent.edu.tr or +90 312 290 3002. For more information, please visit the following websites: neuro.bilkent.edu.tr umram.bilkent.edu.tr bilkent.edu.tr *APPLICATION PORTAL:* https://stars.bilkent.edu.tr/staffapp/NSC2023 -- Burcu Ay?en ?rgen, PhD Assistant Professor Department of Psychology Interdisciplinary Neuroscience Program Aysel Sabuncu Brain Research Center National Magnetic Resonance Research Center Bilkent University 06800, Bilkent, Ankara, Turkey Email: burcu.urgen at bilkent.edu.tr Website: http://burcu.urgen.bilkent.edu.tr Lab: http://www.ccn.bilkent.edu.tr Tel: +90 312 290 30 91 or +90 312 290 1807 -------------- next part -------------- An HTML attachment was scrubbed... URL: From timothy.brady at gmail.com Sat Oct 28 15:32:22 2023 From: timothy.brady at gmail.com (Tim Brady) Date: Sat, 28 Oct 2023 12:32:22 -0700 Subject: Connectionists: UC San Diego - Assistant Professor - Computational Basis of Behavior Message-ID: The Department of Psychology (psychology.ucsd.edu) within the School of Social Sciences at UC San Diego invites applications for a tenure-track Assistant Professor position focused on computational and theoretical mechanisms of behavior and/or its neural bases, with an anticipated start date of July 1st, 2024. We seek candidates interested in understanding behavior through mathematical models, computer simulations, novel approaches to information processing, and/or integration with large-scale neurodynamics, including those with solely theoretical research programs. The selected candidate will be responsible for establishing a rigorous, high-quality research program that complements existing departmental strengths in Behavioral Neuroscience, Cognitive Psychology, Developmental Psychology, and/or Social Psychology. Additional responsibilities include teaching graduate and undergraduate level courses and mentoring students within the Department of Psychology, as well as participating in department and university service. The Department of Psychology is committed to academic excellence and diversity within the faculty, staff, and student body. We are especially interested in candidates who possess a commitment to supporting diversity, equity and inclusion in an academic setting. Salary is commensurate with qualifications and based on University of California pay scales. The position will remain open until filled. Candidates should submit a cover letter, curriculum vitae, statement of research, statement of teaching, three letters of reference, a statement describing experience fostering diversity and/or potential to make future contributions, and 3-5 publications or preprints. For information on preparing diversity statements and divisional initiatives to promote diversity, see: http://facultydiversity.ucsd.edu/recruitment/contributions-to-diversity.html Applications should be submitted electronically via UCSD?s Academic Personnel On-Line RECRUIT system: https://apol-recruit.ucsd.edu/JPF03684 UC San Diego is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity. All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, sexual orientation, national origin, disability, age or protected veteran status. -- Timothy F. Brady, Ph.D. Professor, Department of Psychology University of California, San Diego http://bradylab.ucsd.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From fzenke at gmail.com Mon Oct 30 11:56:41 2023 From: fzenke at gmail.com (Friedemann Zenke) Date: Mon, 30 Oct 2023 16:56:41 +0100 Subject: Connectionists: SNUFA 2023 program now online Message-ID: Dear all, The SNUFA 2023 workshop program is now online (https://snufa.net/2023/). Like every year, we look forward to two afternoons packed with "spiking networks as universal function approximators." Date and time: Tue, 7 Nov 2023 15:00 - Wed, 8 Nov 2023 18:30 CET Location: online Details: https://snufa.net/2023/ Register (for free) for the online event: https://www.eventbrite.co.uk/e/snufa-2023-tickets-675972952297 Program: November 7th (Times in CET) 14:00 Welcome by the organizers Session 1 (Chair: Charlotte Frenkel) 14:10 Rodolphe Sepulchre, KU Leuven and University of Cambridge (invited) 14:55 Veronika Koren -- Efficient computing of high-dimensional neural representations with biologically plausible E-I spiking networks 15:15 Alessio Quaresima, Hartmut Fitz, Renato Duarte, Peter Hagoort, Karl Magnus Petersson -- Dendrites support formation and reactivation of sequential memories through Hebbian plasticity 15:35 Break (30mins) Session 2 (Chair: Friedemann Zenke) 16:05 Gabriel Ocker, Boston University (invited) 16:50 Maayan Levy & Tim P. Vogels -- Capacity of a spiking network with preserved weight distribution: a game-theory-inspired study 17:10 Flash talks by selected poster presenters 17:30 Break (30mins) 18:00 Poster session (Zoom) November 8th (Times in CET) 14:00 Welcome to day two Session 3 (Chair: Dan Goodman) 14:05 Melika Payvand, INI, Zurich (invited) 14:50 Ilyass Hammouamri -- Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings 15:10 Justus Huebotter, Pablo Lanillos, Serge Thill, Marcel van Gerven -- Training Spiking Neural Networks for Continuous Control with Surrogate Gradients 15:30 Break (30mins) Session 4 (Chair: Emre Neftci) 16:00 Jeff Krichmar, UC Irvine (invited) 16:45 Alexander Efremov, Martino Sorbaro, Pau Vilimelis Aceituno, Benjamin Grewe -- Training fast spiking networks through STDP and control feedback 17:05 Antony W. N?dri, C?line Teuli?re and Jochen Triesch -- Combining various types of spike timing-dependent plasticity to learn efficient neural codes 17:25 Closing remarks Best wishes from your friendly organizers, Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke From elliot.j.crowley at ed.ac.uk Mon Oct 30 11:27:35 2023 From: elliot.j.crowley at ed.ac.uk (Elliot Crowley) Date: Mon, 30 Oct 2023 15:27:35 +0000 Subject: Connectionists: Job opening: Postdoc position at the University of Edinburgh in AI at the edge (ddl 14th Nov) Message-ID: <75E47040-2912-45F4-A589-4A8AC7247067@ed.ac.uk> This 2.5yr postdoctoral position on AI at the edge is working with Amos Storkey (Informatics), and Elliot Crowley (Engineering) of the Bayesian and Neural Systems Group (https://www.bayeswatch.com/) at the University of Edinburgh in conjunction with the European dAIEdge network. See more and apply at: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/8752 Informal enquiries to amos+daiedgera *at* inf.ed.ac.uk Thanks! The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.decampos at tue.nl Mon Oct 30 13:16:56 2023 From: c.decampos at tue.nl (Cassio de Campos) Date: Mon, 30 Oct 2023 18:16:56 +0100 Subject: Connectionists: [jobs] Postdoc Uncertainty in AI at TU Eindhoven Message-ID: <767d8e6e-fef2-38ac-1f18-47447b45357f@tue.nl> The UAI group of TU Eindhoven seeks a postdoc researcher in AI/ML to work in the general area of uncertainty in AI, and in particular related to probabilistic machine learning and graphical models. The postdoc will also be largely involved in the project NWO Perspectief Personalized Oncology involving decision support systems for better care. We offer a 3-year contract with salary in scale 10 of the Dutch CAO (min. 3877 max. 5090 euro per month, plus year-end bonus of 8.3% and annual vacation pay of 8%). More details about the post can be found via: https://jobs.tue.nl/nl/vacature/postdoc-uncertainty-in-artificial-intelligence-1034100.html More details about the group can be found via: https://uai.win.tue.nl and https://dai.win.tue.nl We will screen applications and run interviews while the post is open, and we will close the position when a suitable candidate is found, so do not wait to apply. Please share this with colleagues if you think they might be interested, as well as our other call for postdocs: https://jobs.tue.nl/nl/vacature/machine-learning-postdoc-positions-1034634.html best regards, cassio. -- Cassio de Campos (c.decampos at tue.nl) "It's not (only) about the result, it's about how we reached it." (This email, its contents and attachments are confidential and only for private use of its intended addressees, unless explicitly agreed otherwise among all involved. Any other use shall be considered as a breach of agreement. If received in error, please do not disclose the contents to anyone, and immediately notify the sender by return e-mail and delete this e-mail and any attachments from your systems. No liability is accepted resulting from or relating to this communication.) From Donald.Adjeroh at mail.wvu.edu Mon Oct 30 14:34:03 2023 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 30 Oct 2023 18:34:03 +0000 Subject: Connectionists: 4 days to go ... CFP: IEEE BIBM-LncRNA'23: Workshop on Long Non-Coding RNAs In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ Paper submission deadline (extended): Nov. 3, 2023 -- see below Call for Papers The IEEE BIBM 2023 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Dec. 5 - 8, 2023. Though the BIBM conference will be held in Istanbul, Turkey, the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Istanbul, Turkey. BIBM- LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ IEEE BIBM 2023: https://ieeebibm.org/BIBM2023/ The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs. Research topics: The potential topics include, but not limited to, the following: lncRNA detection and biomarker discovery CLIP-Seq and RIP-Seq data analysis Prediction of physical binding between lncRNA and DNA, RNA and protein. Competition and interaction between lncRNA, miRNA and mRNA Studying methylation regulating lncRNA functions Function Prediction for lncRNAs Deep learning approaches to lncRNA/RNA binding protein prediction Computational approaches to analyzing lncRNA lncRNA 3D secondary structures lncRNA-protein interactions lncRNA in epigenetic regulation lncRNA associated diseases network lncRNAs in plant genomics lncRNAs in phenotype-genotype problems lncRNAs and single cell transcriptomics lncRNAs and spatial transcriptomics CRISPR/Cas9 and Genome editing in lncRNAs We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals. Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. We aim at supporting at least one author for each accepted paper, depending on number of papers, and on availability of funds. Journal Special Issue: Authors of selected submissions may be invited to extend their papers for submission for review and possible publication in a special issue of a journal. The journal special issue for the 2021 workshop is being published by the journal Non-Coding RNA. https://www.mdpi.com/journal/ncrna/special_issues/81CH217P14 Paper Submission: (Abstract, Short Paper, or Full Paper) Please submit your abstract (1 page), short paper (2 pages), or full-length paper (up to 8 pages in IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required. Click on this link to submit paper. Important Dates: Nov. 3, 2023, 11:59:59 PM WST: Due date for full workshop paper submission. Nov 10, 2023: Notification of paper acceptance to authors Nov 21, 2023: Camera-ready of accepted papers Dec 5-8, 2023: Workshops and Conference BIBM-LncRNA'23 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Oct 31 07:21:31 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 31 Oct 2023 12:21:31 +0100 Subject: Connectionists: Call for Participation COMPLEX NETWORKS 2023 Menton France November 28 - 30, 2023 Message-ID: *12th** International Conference on Complex Networks & Their Applications* *Menton Riviera* *, France *November 28 - 30, 2023 COMPLEX NETWORKS 2023 *Registration:* https://complexnetworks.org/registration/ *See the detailed program at :* https://complexnetworks.org/program/ *KEYNOTE SPEAKERS* Michael Bronstein * - *Univ. of Oxford UK - *Physics-inspired Graph Neural Networks* Kathleen Carley - Carnegie Mellon Univ. USA - *Coupling in High Dimensional Networks* Manlio De Domenico Univ. of Padua Italy: *An Emerging Framework for the Functional Analysis of Complex* * Interconnected Systems* Danai Koutra - Univ. of Michigan USA - *Advances in Graph Neural Networks: Heterophily and Beyond* Romualdo Pastor-Satorras - UPC Spain - *Opinion Depolarization in Interdependent Topics and the Effects of Heterogeneous Social Interactions* Tao Zhou - USTC China - *Recent Debates in Link Prediction* *TUTORIALS (November 27, 2023)* Tiago de Paula Peixoto - CEU Vienna Austria - *Network Inference and Reconstruction* Maria Liakata - Queen Mary University of London UK - *Longitudinal language processing from user generated content* Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2023. Hocine Cherifi, Luis M. Rocha COMPLEX NETWORKS 2023 General Chairs Join us at COMPLEX NETWORKS 2023 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science Plos Complex Systems Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: