Index of /References/Neural Nets

• Parent Directory
• 00_James refs.txt
• 0_References – Neural Networks.ods
• 0_memristor information and references.odt
• 1002 Prokhorov - Echo State Networks Appeal and Challenges.pdf.lnk
• 1013 Fröhlich, Wegner, Zell - Assignment Kernels For Chemical Compounds.pdf.lnk
• 1043 Martinez, Melin, Castillo - Modular NNs & Hierarchical GAs for Speech Recognition.pdf.lnk
• 1278 Rattan, Hsieh - Nonlinear complex PCA & applications.pdf.lnk
• 1439 Valdes, Bonham-Carter - Time Dependent Neural Network Models For Detecting Changes Of State In Earth and Planetary Processes.pdf.lnk
• 1454 Igal, Karina, Yehoshua - Co-Evolutionary Learning of Liquid Architectures.pdf.lnk
• 1489 Cannon - Nonlinear Principal Predictor Analysis Using Neural Networks.pdf.lnk
• 1553 Goodman, Ventura - Effectively Using Recurrently-Connected Spiking Neural Networks.pdf.lnk
• 1556 Density Function Estimation with Multilayer Perceptrons, Pablo Zegers & Jose Johnson.pdf.lnk
• 1606dd IEEE Women in Engineering mag WIE_20160601_Jun_2016.pdf
• 1606dd IEEE WomenIn Engineering magazine WIE_20160601_Jun_2016.pdf
• 160816 Kernel startup for Ted Bergers hippocampal prosthesis.odt
• 170102 IEEE Spectrum_20120.PDF
• 1767 Jaeger - Reservoir Riddles- Suggestions for Echo State Network Research.pdf.lnk
• 1772 DeMarse, Dockendorf - Adaptive Flight Control with Living Neuronal Networks on Microelectrode Arrays.pdf.lnk
• 1772 Zimmermann, Grothmann, Sch¨afer,Tietz - Dynamical Consistent Recurrent Neural Networks.pdf.lnk
• 7252 - Adhikari, DNA SECRET SHARING.pdf
• Abbott, Dayan 2012 Neural Encoding I, Firing rates and spike statistics.pdf
• Acey 08May2013 Brain implants - Restoring memory with a microchip.odt
• Almarashi 2012 Approximation Solution of Fractional Partial Differential Equations by Neural Networks.pdf
• Arasaratnam, Haykin 2009 Cubature Kalman Filters.pdf
• Arasaratnam, Haykin yyyy Nonlinear Bayesian Filters for Training Recurrent Neural Networks.pdf
• Baker, Bocharov, Rihan 9907dd A report on the use of delay differential equations in numerical modelling in the biosciences
• Baldi, Vershynin 15Feb2022 The Quarks of Attention.pdf
• Baleanu etal 27jan2010 Lyapunov-Krasovskii Stability Theorem For Fractional Systems With Delay.pdf
• Biau, Mason 131104 High-Dimensional p-Norms.pdf
• BioNorth - Stanimirovic of NRC.PPT.lnk
• Blondie24 kills the opponent plus trap moves.xcf
• Bonham-Carter CI-oct-01.ppt.lnk
• Brown etal 22Jul2021 Language Models are Few-Shot Learners.pdf
• Cambria, Guang-Bin Huang 13mmdd Extreme Learning Machines.pdf
• Cao etal 02May2013 A hybrid seasonal prediction model for tuberculosis incidence in China.odt
• Cheng 110114 - Semi-tensor Product of Matrices and Its Applications.pdf
• Cheng 11mmdd - Chapter 2 Semi-tensor Product of Matrices.pdf
• Cheng, Dong 0312dd - Semi-Tensor product of matrices and some applications to physics.pdf
• Cloud Watcher - Males have greater G, sex differences in general mental ability.txt
• Cohen, Grossberg 8309dd Absolute stability of global pattern formation and parallel memory storage by competitive neural networks.pdf
• Conference-STATS-WCCI-2018.docx
• Crane, Desbrun, Schroder 2010 Trivial connections on discrete surfaces.pdf
• Deneve2008b.pdf
• Duch, Setiono, Zurada 0405dd - Computational intelligence methods for rule-based data understanding.pdf
• Echo States & ELM/
• Engel, Mannor, Meir 05mmdd Reinforcement learning with Gaussian processes.pdf
• Engel, Mannor, Meir 2003 Bayes meets bellman, The gaussian process approach to temporal difference learning.pdf
• Engel, Mannor, Meir 2003 Bayes meets bellman_ The gaussian process approach to temporal difference learning.pdf
• Feldkamp & Prokhorov Adaptive Critics 1996 smc.pdf
• Forti, Grazzini, Nistri, Pancioni 22Dec2005 Generalized Lyapunov approach for convergence of neural networks with discontinuous or non-Lipschitz activations.pdf
• Freeman, Quiroga OCR stuff/
• Gao, Liu, Wang 1201dd - Quantitative analysis of VOCs using hierarchical models with an electronic nose.pdf
• Gerry Wolff 190218 Architects of Intelligence by Martin Ford in the light of the SP Theory of Intelligence.pdf
• Gil, Henriques, Duarte-Ramos, Dourado - UNSCENTED KALMAN FILTER IN ADAPTIVE NEURAL MODEL-BASED PREDICTIVE CONTROL.pdf
• Goodfellow 140506 The case for dynamic defenses against adversarial examples, NIPS Workshop on Perturbation, Optimization, and Statistics, Montreal.pdf
• Goodfellow 170905 Generative Adversarial Networks, NVIDIA Distinguished Lecture Series, USC.pdf.pdf
• Goodfellow 180622 Introduction to GANs, CVPR Tutorial on GANs.pdf
• Goodfellow 190506 The Case for Dynamic Defenses Against Adversarial Examples, ICLR SafeML Workshop.pdf
• Ham, Fred - ICA Separation of Infrasound Signals 2.pdf
• Ham, Fred - ICA Separation of Infrasound Signals.pdf
• Havlicek, Joseph - KalmanModule5.pdf
• Hermann, Imbelaer, Pavlyukevich - Stochastic resonance & tuning.ps
• Herrera, Alfredo at Nortel - FPGA_computational_engines/
• Hewitt 130510 If you can't beat them, join them- Grandmother cells revisited.odt
• Howell - 25 most downloaded from Neural Networks journal 140317.odt
• Howell - Confabulation, A quick, fun survey of Plausible Next Sentences.odt
• Howell - Kasabov ECOS book review.doc
• Howell 110824 - Confabulation Theory - Plausible next sentence survey.pdf
• Howell 130810 IJCNN 2013 Dallas Texas - selected themes.odt
• Howell 131011 fMRI - Random, stray thoughts.odt
• Howell 131011 fMRI - Random, stray thoughts.pdf
• Howell 131013 Robots, Signal Processing and Control Theory - Random, stray thoughts.odt
• Howell 131013 Robots, Signal Processing and Control Theory - Random, stray thoughts.pdf
• Howell 2005 - Presentation, Junk DNA and Neural Networks conjecture on directions and implications.ppt
• Howell 2006 - Genetic specification of neural networks, draft concepts and implications.pdf
• Howell 2006 - Presentation, Genetic Specification of Recurrent Neural Networks Initial Thoughts.ppt
• Howells NN reference listing.sxw
• Hu, Huang, Song, Wei 2015 Partitioning the Firing Patterns of Spike Trains by Community Modularity.pdf
• Hu, Li, Wu, Rose, Chen 120610 Memristor Crossbar Based Hardware Realization of BSB Recall Function.pdf
• Huang 140403 An Insight into Extreme Learning Machines- Random Neurons, Random Features and Kernels.pdf.pdf
• Huang, Chen 2007 - Enhanced Random Search Based Incremental Extreme Learning Machine.pdf
• Huang, Chen, Siew - Universal approximation using incremental constructive FFNNs with random hidden nodes.pdf
• Huang, Ding, Zhou 09Feb10 - Optimization Method Based Extreme Learning Machine For Classification.pdf
• Huang, Guangbin - CELM-NEUCOM-Final.pdf
• Huang, Guangbin - ELM Protein-IJCNN05.pdf
• Huang, Zhu, Mao, Siew, Saratchandran, Sundararajan - Can threshold networks be trained directly.pdf
• Huang, Zhu, Siew - Extreme learning machine, Theory and applications.pdf
• Huang, Zhu, Siew - Real-time learning capability of NNs.pdf
• ICANN2018_programme_20180925.pdf
• ICONIP 2014 Proceedings - Part I.pdf
• ICONIP 2014 Proceedings - Part II.pdf
• ICONIP 2014 Proceedings - Part III.pdf
• IJCNN 2008 NN forecasting competition - Taieb etal 1108.3259.pdf
• IJCNN2004 Lendasse etal - Time series competition.pdf
• INNS 1307dd naturalintelligencevolume2issue1_july2013.pdf
• Igal, Karina, Yehoshua - Co-Evolutionary Learning of Liquid Architectures.pdf
• Immerkær 1997 - Least Median Squared.html
• Izhikevich Nov2003 Simple Model of Spiking Neurons Figure 2.png
• Izhikevich Nov2003 Simple Model of Spiking Neurons.pdf
• James 140621 Recent Advances in the Kanban Cell Neuron Stock Trading System.pdf
• James 140925 Kanban Cell Neuron Network, draft figures for NN Special Issue.pdf
• James 140925 Kanban Cell Neuron Network, draft text for NN Special Issue.pdf
• James 151020 Meth8.analog.2015.10.20.027.pdf
• James 151020 analogy.extended.abstract.2015.10.17.06.pdf
• James 151224 Patent US9202166B2.pdf
• James 151230 Handbook-Analogy2015.ed.2015.11.09.12.pdf
• James 151230 Meth8.analog.2015.10.30.036.pdf
• James 160720 Model Prover for Multivalued Logic - Meth8.pdf
• James 160804 Mapping natural language sentences to expressions for the Meth8 model checker.pdf
• James 160908 Language to logic mapper (LLM) to logic model checker (LMC).pdf
• James 161009 Meth8 versus Karl Popper.pdf
• James 161023 Meth8 versus Karl Popper.pdf
• James 161115 with Tozzi, Peters - A Logical Inquiry Of Emotions And Cognition.pdf
• James 161116 with Tozzi, Peters - A Logical Inquiry Of Emotions And Cognition.pdf
• James 161120 refutation of the abc conjecture.pdf
• Kalman filters/
• Kamwa, Baraboi, Wamkeue, IJCNN06 - Sensorless ANN-Based Speed Estimation of Synchronous Generators.pdf
• Kasabov - ECOS book review.doc
• Kasabov - ECOS book review.rtf
• Kasabov IJCNN04 Transductive 1382.pdf
• Kavehci, Kim, Iqbal, Eshraghian, Al-Sarawi, Abbott 2009 The Fourth Element - Insights into the Memristor.pdf
• Kharitonov, Zhabko 24Jul2002 Lyapunov–Krasovskii approach to the robust stability analysis of time-delay systems.pdf
• Knoll, de Kamps, editors - European Union Roadmap of Neuro-IT Development.pdf
• Kozma 160519 Walter Freeman obituary2.pdf
• Kristensen, Kumar IJCNN05 - Entropy Based Disease Classification of Proteomic Mass Spectrometry Data of the Human Serum by a SVM.pdf
• Kullback–Leibler divergence - continuous wikipedia.png
• Kullback–Leibler divergence - limit of zero.png
• Kullback–Leibler divergence - wikipedia.png
• LaViola, BownU - A Comparison of Unscented and Extended Kalman Filtering for Estimating Quaternion Motion.pdf
• Lazar, Slutskiy Nov2013 Functional Identification of Spike-Processing Neural Circuits (RKHS).pdf
• LeCun, Yan - Learning schee for an asymmetric threshold network 1985.pdf
• LeCun, Yann - Machine learning & pattern recognition.pdf
• LeCunn - Local Contrast Normalization code preproc.py
• Lenat, Marcus 31Jul2023 Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc.pdf
• Li, Huang, Saratchandran, Sundararajan - Fully complex extreme learning machine.pdf
• Li, Liu, Wang, Dou, Yin, Zhu 2015 Multiple kernel clustering with local kernel alignment maximization DBMK-ELM.pdf
• Liang, Huang, Saratchandran, Sundararajan - Fast Sequential Learning for FFNNs.pdf
• Ma, Fred TransVLSI.pdf
• Ma, Fred - Slides.pdf
• Ma, Fred - Thesis.pdf
• Maass, Markram 13May04 - On the Computational Power of Circuits of Spiking Neurons.pdf
• Machado, Kiryakova, Mainardi 11mmdd Recent history of fractional calculus.pdf
• Manuel, Alfonseca - NNs in APL.html
• Maplesoft 13Feb2018 Engineers, Stop Doing Algebra by Hand democratizingsymbolicmath.pdf
• Mealing etal 31Jul05 - Polymer Microstructures with Controlled Surface Chemistries as a Platform for Creating and Interfacing with Synthetic NNs.pdf
• MindCode/
• Miodrag 2004 - Theory and Implementation of Particle Filters.ppt
• Mirae Asset Global Investments 26Mar2016 Automation Industry in China.pdf
• Mitchell etal May2009 Brains, Meaning and Corpus Statistics (fMRI).pdf
• Moulter IJCNN08 NN0849 - Working memory and spontaneous activity of cell assemblies, A biologically motivated computational model.pdf
• Murray 1994 Partial Dfferentiation and Multiple Integrals.pdf
• NIPS 2017 Conference Book.pdf
• NSF_ADP_Proceedings 020408-10.pdf
• Natural Intelligence INNS 1110dd V1_I1.pdf
• Natural Intelligence INNS 12mmdd V1_I2.pdf
• Nessler, Pfeiffer, Maass Dec2009 STDP enables spiking neurons to detect hidden causes of their inputs.pdf
• Neto, Siegelmann, Costa ca1996 Symbolic Processing in Neural Networks.pdf
• NeurIPS 2020 list of papers.txt
• Ng, McLachlan 2004 Using the EM Algorithm to Train Neural Networks, Misconceptions and a New Algorithm for Multiclass Classification.pdf
• Oota 30Sep2018 A deep autoencoder for near-perfect fMRI encoding.pdf
• Oota 2018 fmri-semantic-category iconip.pdf
• Paiva, Park, Principe 2008 Reproducing kernel Hilbert Spaces for Spike Train Analysis.pdf
• Perlovsky 2013 Learning in brain and machine - complexity, Godel, Aristotle.pdf
• Petrides - IJCNN05 plenary from London_05.ppt
• Petriu, Emil NN tutorial.pdf
• Petrosian, Prokhorov, Lajara-Nanson, Schiffer - Alzheimer's disease in EEG 2001.pdf
• Phata, Hien 07Jan2009 An application of Razumikhin theorem to exponential stability for linear non-autonomous systems with time-varying delay.pdf
• Ponosov, Andrei Shindiapin 03mmdd Azbelev’s w-transform and its applications in mathematical modeling.pdf
• Ponulak 2005 ReSuMe-new supervised learning method for Spiking.pdf
• Pribram 1993 Rethinking neural networks, Quantum fields and biological data, TableOfContents.html
• Prokhorov & Wunsch Adaptive Critics tnn2768.pdf
• Prokhorov (WCCI06) - Feedback neural control of a Disease.pdf
• Prokhorov - Echo State Networks Appeal and Challenges.pdf
• Prokhorov - Kalman filtering 1998.pdf
• Prokhorov - Toyota Prius HEV neurocontrol, IJCNN07 1542.pdf
• Prokhorov - control RNN fg1m.pdf
• Prokhorov dvpchapter.pdf
• Prokorov chapter.pdf
• Qiu, Wu, Bishop, Pino, Linderman 12mmdd Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High Performance Computing Cluster.pdf
• Quiroga 2012 Concept cells- the building blocks of declarative memory functions.pdf
• Rao, Ravi - time_domain_tutorial_ijcnn_2009_final.pdf
• Resconi, Kovalerchuk 2008 - Fusion in Agent Based Uncertainty Theory (AUT) and Neural Image of Uncertainty.ppt
• Resconi, Kovalerchuk 2008 - Non locality in correlate Agents’ model of uncertainty and quantum mechanics.doc
• Riggers, Szu 10Aug2015 Lesson in creativity, editorial.pdf
• Robinson, Barron 07Apr2017 Epigenetics and the evolution of instincts.pdf
• Roy 141001 - Cognitive Computation - Some Theoretical Perspectives.pdf
• Ruan 06mmdd Delay differential equations in single species dynamics.pdf
• Ruan-nato linear chain trick 1.png
• Ruan-nato linear chain trick 2.png
• Rushton, Jensen 2005 - Totality of Available Evidence Shows the Race IQ Gap Still Remains.pdf
• Rushton, Jensen 2005 - Wanted- More race realism, less moralistic fallacy.pdf
• Ryzhov, Powell 10mmdd Approximate Dynamic Programming With Correlated Bayesian Beliefs.pdf
• Sabour, Frosst, Hinton Dec2017 NIPS - Dynamic routing between capsules.pdf
• Salla 091219 - Pravda hides link between Kremlin UFO Pyramid & Norway light spiral.htm
• Salla 091219 - Pravda hides link between Kremlin UFO Pyramid & Norway light spiral_files/
• Santiago, Lendaris - 1659 IJCNN05 Reinforcement Learning and the Frame Problem.pdf
• Santiago, Roberto - 1743 IJCNN04 Context Discerning Multifunction Networks.pdf
• Scardapane 160523 PhD-Thesis Distributed Learning.pdf
• Schmidhuber - Deep Learning/
• Schmidhuber 140424 Deep Learning in Neural Networks, An Overview, bibliography.bib
• Schmidhuber 140424 Deep Learning in Neural Networks, An Overview.pdf
• Schmidhuber 140702 Deep Learning in Neural Networks, An Overview.pdf
• Schmidhuber 24Sep2021 Scientific Integrity, the 2021 Turing Lecture, and the 2018 Turing Award for Deep Learning.html
• Seifert 18Jun1973 Liapunov-Razumikhin Conditions for Asymptotic Stability in Functional Differential Equations of Volterra Type.pdf
• Sejnowski 21Aug2022 Large Language Models and the Reverse Turing Test.pdf
• Serenko, Dohan 11mmdd Expert survey and citation impact - Appendix C Journal rankings for AI.png
• Serenko, Dohan 11mmdd Expert survey and citation impact - Example from the field of Artificial Intelligence.pdf
• Siegelmann 151216 How brain architecture leads to abstract thought.odt
• Siegelmann, Neto, Costa 2003 Symbolic_Processing_in_Neural_Networks.pdf
• Sieglemann 2003 Symbolic Processing in Neural Networks.pdf
• Silver, Yang, Li 130518 Lifelong Macine Learning - position paper.pdf
• Singer etal 2002 - Feed-forward synchronization, propagation of temporal patterns along the retinothalamocortical pathway.pdf
• Spivak 130918 Category theory for scientists (Old version).pdf
• Stanley 13Jul2018 Neuroevolution - A different kind of deep learning.odt
• Step-Wise SNNc Acitivity.avi
• Suykens t15 - Support Vector Machines and Kernel based Learning.pdf
• Szu - Nanorobot fabrication makes ultrasmall sensors possible, Research, Office of Naval Research - NanoTechWire_com - The online resource for Nano Technology And Research.htm
• Szu 1307dd Thermodynamic Learning Rule, in INNS 1307dd naturalintelligencevolume2issue1_july2013.pdf
• Szu 170317 Theory of Unsupervised Deep Learning.pdf
• Szu 19Mar2017 Theory of Unsupervised Deep Learning.pdf
• Szu 2012 NI can do better compressive sensing.pdf
• Taylor, Hobbs, Burroni, Siegelmann 16Dec2015 The global landscape of cognition- hierarchical aggregation as an organizational principle of human cortical networks and functions.pdf
• Theiss, Stephan - MultiElectrodeArrays SIMEA_2004_CORRELATION.pdf
• Thivierge, Marcus 16Jul06 - Computational Developmental Neuroscience, Exploring the Interactions Between Genetics and Neural Activity.pdf
• Thomas, OhioU Mackey-glass.html.lnk
• Thomas, OhioU general chaos.html.lnk
• Valdes NRC presentation caves only 020717.ppt
• Valdes NRC presentation full 020717.ppt
• Valdes, Bonham-Carter - Time Dependent Neural Network Models For Detecting Changes Of State In Earth and Planetary Processes.pdf
• Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin 12Jun2017 Attention Is All You Need.pdf
• Venayagamoorthy - IEEE Award.htm
• Venayagamoorthy ObjectNets IAS2004.pdf
• Waley, Mao, Bachache 2015 Biogeography Based Optimization for Tuning FLC Controller of PMSM.pdf
• Wan & Miller - FIR NNs/
• Wang, DeLiang 06Dec2016 Deep Learning Reinvents the Hearing Aid.odt
• Wang, Jun - Neurodynamic Optimization, IJCNN07 tutorial.pdf
• Wang, Zhang, Liu 2009 Adaptive dynamic programming- an introduction.pdf
• Welsh & Bishop - Kalman filter intro.pdf
• Weng 2011 Three Theorems - Brain-Like Networks Logically Reason and Optimally Generalize.pdf
• Weng 2013 Establish the Three Theorems- Brain-Like DNs Logically Reason and Optimally Generalize.pdf
• Weng 2022 ConsciousLearning-ICCE-2022-rvsd-cite.pdf
• Weng 28Jun2021 post-selections in AI, Report-to-Nature-specific-PSUTS.pdf
• Werbos - Avestor Li-polymer specs - corrections.xls
• Werbos - Backwards Differentiation in AD and Neural Nets 050314.doc
• Werbos - EPC auto bill position paper Nov1805 rebuilt.doc
• Werbos - EPC auto bill position paper Nov1805 v2.doc
• Werbos - EnergySustainability July03 QuickView Plus.html
• Werbos EnergySustainabilityJuly%2Edoc.html
• Werbos energy_strategy 050314.ppt
• Werbos patent US06882992.pdf
• Werbos patent US06882992_firstpage.pdf
• Werbos zero-net-CO2 transportation v1.doc
• Werbos zero-net-CO2 transportation.doc
• Widrow 2001 Hearing aid microphone array .pdf
• Widrow IJCNN09 paper 0689 - Cognitive memory.pdf
• Wright, Maskell, Briers - Comparison of Kalman-based Methods with Particle Filters for Raid Tracking.ppt
• Wu 11mmdd Condor versus Watson.ppt
• Wu, Wang, Cheng, Li 2011 Convergence analysis of online gradient method for BP neural networks.pdf
• Yang Kuang yymmdd Delay differential equations NEUNET-D-15-00284 z.pdf
• Yao etal 29Jan2020 Fully hardware-implemented memristor convolutional neural network.pdf
• Yerramalla etal yymmdd Lyapunov Analysis of Neural Network Stability in an Adaptive Flight Control System.pdf
• Yerubandi,Reddy, Reddy 1502dd Navigation system for an autonomous robot using fuzzy logic.pdf
• Yin etal 15Jun2020 Entanglement-based secure quantum cryptography over 1,120 kilometres.pdf
• Yoonsuck Choe - [Abbott, Dayan] chapter slide10.pdf
• Yu, Huang, Singer, Nikolic 09Apr08 - A Small World of Neuronal Synchrony.pdf
• Zadaeh, Lofti (EIT)3Copy of CWP--A PARADIGM..6-23-03.ppt.lnk
• Zhang etal 10.1016j.neucom.2019.07.009.pdf
• Zhao, Li 2009 - Robust Stability Analysis of Fuzzy Neural Network with Delays.pdf
• Zhou, Jiang, Cai 11mmdd Hopf Bifurcation Analysis for the van der Pol NEUNET-D-15-00284 z.pdf
• Zimmermann, Grothmann, Sch¨afer,Tietz - Dynamical Consistent Recurrent Neural Networks.pdf
• Zou, Qu, Chen, Cahi, Yang 1402dd Stability analysis of a class of fractional-order NNs NEUNET-D-14-00485 r.pdf
• Zou, Qu, Chen, Cahi, Yang 1402dd Stability analysis of a class of fractional-order NNs.pdf
• Zyga 121204 Do brain cells need to be connected to have meaning.odt
• de Figueiredo - RKH Space F for RNNs.pdf
• de Figueiredo - RKH Space F for RNNs.pdf.lnk
• de Figueiredo 2007 - Processing fuzzy set membership functionals as vectors.pdf
• doc Santiago, Lendaris - 1659 IJCNN05 Reinforcement Learning and the Frame Problem.pdf
• iannella01spiking.pdf
• lamarck.html
• lamarck_files/
• memristor stuff/
• modelmigration.pdf
• sejnowski ica NS95_ps.pdf.lnk
• sejnowski ica nips95b_ps.pdf.lnk
• sejnowski ica.html
• sejnowski ica.html.lnk
• sejnowski nips96_bartlett.ps
• single-page-integral-table.pdf
• thumbnail_video to figure 3a_ Step-Wise SNNc Acitivity.jpg
• usna.edu DiracDelta.pdf
• valdes presentation hawaii.ppt
• valdes presentation hawaii.ppt.lnk
• van Schuppen yymmdd Control and Algebra - An Introduction.pdf