#???
./
???
  "$d_web"
#00:20 nuclear decay processes
./0.0 31Mar2022 full presentation.mp3
#00:33 decay process of U235
#00:46 alpha particle emission, problems with the standard explanations
#02:12 SAM basics: nucleus structure, electrostatic, no [neutron, strong force]
#03:42 SAM periodic table
#04:06 SAM transmutations confirmed in SAFIRE laboratory
#04:40 Inner nuclear structure dictates chemical properties
#05:11 Formation of elements doesn't require stars
0576.html
0581.html
0583.html
#06:06 Other SAM [assumptions, advantages]
\1\2\/\3
#1958-59 ?among the world's first? systems of non-linear differential equations for NNs
#1976 ART Adaptive Resonance Theory
\2
2005 IJCNN website - official/
2006 WCCI website - official/
2006 WCCI website - official/2006 WCCI06 Operating Committee.htm
2007 IJCNN Orlando website/
2007 IJCNN Orlando website/committee.htm
#20 And Back - The Super Soldiers Defending the Kuiper Belt (37:40)
#[2, 4]-value logic for [protein, information]
#83year detrended SP500
/aboutus/
/aboutus/advertising/
/aboutus/faq/
/aboutus/ourpartners.html
/aboutus/pMenuTopCopyright.html
/aboutus/sitemap/
/aboutus/termsofservice.html
#Adapt my PineScript program to other [symbol, application]s
#Adrian D'Amico 28Feb2018 - Space Weather and Human Health
#Advantages, characteristics : 
#Afterword, list of authors
#AI, machine intelligence, etc
#Alien Artifacts on Mars: What NASA doesn't want you to know (32:13)
#Alien Bases On The Moon | The Amazing True Story of Ingo Swann (21:34)
#Alien Probe, Sentient Machine, Nuclear Weapon, or Junk? What is the Betz Mystery Sphere? (21:46)
#Aliens & Espionage: Crop Circles and the CIA Coverup | They Don't Want You to Know (55:31)
#ALIEN WAR and The Horrors of Dulce Underground Base (40:21)
#Alleged sentience of artificial intelligence
#America's Secret Space Program and the Alien Connection: Solar Warden (28:57)
#Amos
#Ancient Craft Watching us From Orbit | The Black Knight Satellite (21:30)
#And for the future?
#AND: simple function of two input RNA strands, one output RNA
#Annunaki | Gods from Planet Nibiru and the Makers of Man (1:05:23)
#Apollo 20: The Secret Mission to the Moon to Salvage an Ancient Alien Spacecraft (29:25)
#Area 51 Airline? | JANET: The Secret Government Airline That Doesn't Exist (12:04)
#Are all these UFOs an Alien Invasion or has Project Blue Beam finally begun? (28:46)
#Are [email, paper] responses composed by AI, with minimal [review, edit]?
#Are [political, economic, philosophical, psychological, sociological] theories unimportant?
#ART - Adaptive Resonance Theory
#ARTMAP associate learned categories across ART networks
#art (painting etc)
#ARTPHONE [gain control, working] memory
#ARTSCENE classification of scenic properties
#ARTSTREAM auditory streaming, SPINET sound spectra
#Astrocyctes
#A [time, length, theme] multifractal map of Earth's History: paleontology eras and periods
#auditory continuity illusion
author.html#582
#Autonomous systems, networks, robots
#A workable [definition, context, model] for consciousness
#Background context
[#=; backtrack ;=#]Neural nets/Conference guides/2019 IJCNN Budapest/logo-bscs.png
[#=; backtrack ;=#]Neural nets/Conference guides/2019 IJCNN Budapest/logo Genisama.png
[#=; backtrack ;=#]Neural nets/Conference guides/2019 IJCNN Budapest/logo_INNS.png
[#=; backtrack ;=#]Neural nets/Conference guides/2019 IJCNN Budapest/logo MDPI Information and Algorithms.jpg
[#=; backtrack ;=#]Neural nets/Conference guides/2019 IJCNN Budapest/logo Nokia Bell Labs.png
[#=; backtrack ;=#]Neural nets/Conference guides/2020 WCCI Glasgow/logo_EPS.png
[#=; backtrack ;=#]Neural nets/Conference guides/2020 WCCI Glasgow/logo_IEEE-CIS.png
[#=; backtrack ;=#]Neural nets/Conference guides/2020 WCCI Glasgow/logo_IEEE.png
[#=; backtrack ;=#]Neural nets/Conference guides/2020 WCCI Glasgow/logo_IET.jpg
[#=; backtrack ;=#]Neural nets/Conference guides/2020 WCCI Glasgow/logo_NapierU.jpg
[#=; backtrack ;=#]Neural nets/Conference guides/Author guide website/Conference registration.html
[#=; backtrack ;=#]Neural nets/Conference guides/Author guide website/IEEE electronic Copyright form.html
[#=; backtrack ;=#]Neural nets/Conference guides/Author guide website/Paper final submission.html
[#=; backtrack ;=#]Neural nets/Conference guides/Author guide website/Paper initial submission.html
[#=; backtrack ;=#]Neural nets/Conference guides/Author guide website/Travel visas.html
#Baltic Sea Anomaly, Atlantis, and Underwater Alien Bases | Mysteries of the Ocean Pt 1 (41:24)
#Ben Davidson 23Feb2018 - What To Do With Space Weather Health Information
#Ben Davidson & Suspicious Observers - Space Weather and health
#Bending Time: The Successful Time Travel Experiments using Kozyrev Mirrors (39:37)
#Bernard Baars 1988 global workspace model
#Bigfoot Aliens KGB? Dyatlov Pass Explained -- and Solved (20:47)
#Biological context
#Biological similies
#biology, evolution, paleontology
#[bio, neuro, psycho]logy data
#Blake Lemoine: Is LaMDA Sentient?
#Blog explosion of [diversity, dimensionality]
#Blogs: [deep, broad]er themes
#bone [shell, fibre]s
#brain disorders and disease
#Brain is NOT Bayesian?
#Brain regions, neural networks, resonance
#brain rythms & Schuman resonances
#Building MindCode from [bio, psycho]logical data
#c_102.22
#c_123.10
#c_127.26
#c_136.22
#c_136.7
#c_138.8
#c_140.28
#c_143.25
#c_151.1
#c_151.29
#c_154.15
#c_157.9
#c_167.3
#c_168.12
#c_168.7
#c_180.2
#c_198.32
#c_205.11
#c_208.10
#c_214.8
#c_218.28
#c_219.26
#c_222.19
#c_2.23
#c_224.2
#c_227.35
#c_230.34
#c_230.7
#c_246.31
#c_247.30.1
#c_247.30.2
#c_249.32
#c_255.25
#c_259.20
#c_260.28
#c_267.13
#c_272.24
#c_273.8
#c_276.25
#c_277.12
#c_277.21
#c_278.19
#c_286.8
#c_290.1
#c_292.1
#c_292.27
#c_295.6
#c_318.26
#c_349.34
#c_47.20
#c_55.31
#c_57.17
#c_61.23
#c_63.14
#c_72.24
#c_74.27
#c_83.27
#c_92.60
#c_97.11
#[calculate, plot] detrended results for each time segment
#Calendar basis of [myth, religion, philosophy, science] (05Jan2026 email)
#callerID-SNNs
#Cambrian Period explosion of [complex, diverse] multicellular life
#Canada: IDtheft growth
#Canada's Stonehenge ~5kyBP (Gordon Freeman)
#[, c]ARTWORD word perception cycle
#Cellular mechanisms for [protein, information]
#ch001
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#Chapter 10 - Laminar computing by cerebral cortex
#Chapter 11 - How we see the world in depth
#Chapter 12 - From seeing and reaching to hearing and speaking
#Chapter 13 - From knowing to feeling
#Chapter 14 - How prefrontal cortex works
#Chapter 15 - Adaptively timed learning
#Chapter 16 - Learning maps to navigate space
#Chapter 17 - A universal development code
#Chapter 1 - Overview
#Chapter 2 - How a brain makes a mind
#Chapter 3 - How a brain sees: Constructing reality
#Chapter 4 - How a brain sees: Neural mechanisms
#Chapter 5 - Learning to attend, recognize, and predict the world
#Chapter 6 - Conscious seeing and invariant recognition
#Chapter 7 - How do we see a changing world?
#Chapter 8 - How we see and recognize object motion
#Chapter 9 - Target tracking, navigation, and decision-making
#CIA Declassifies UFO Documents 👽 | Download Now 💾 | 3,000 Pages (2:07)
#Co-evolution of membrane equations and on-center-off-surround anatomies?
#CogEM Cognitive-Emotional-Motor model
#Comox BC Queneesh Legend (Neil Howell)
#Comparing Earth technology with alien civilizations | The Kardashev Scale (18:15)
#Comparison of [TradingView, Yahoo finance] data
#Compilation: UFOs & Aliens! (2:47:08)
#complementary computing
#Computations with multiple RNA strands
#computing with cellular patterns
#Conclusion: failure, mis-leading
#Conclusion: not useful
#Conclusions compiled from my initial learning examples
#Conference webPage & description
#Conscious mind, resonant brain
#Conscious mind, resonant brain: sub-section list
#Conscious mind, resonant brain: Table of Contents
#consciousness
#Consciousness: Grossberg's tie-in of [, non] conscious processes
#conscious vs non-conscious
#Consensus is poison.  Politics needs this poison.
#Context
#Conventional theory - components of consciousness
#cooperative-competitive
#Cooperative-competitive, top down - bottom-up
#corr102.22
#corr123.10
#corr127.26
#corr136.22
#corr136.7
#corr138.8
#corr140.28
#corr143.25
#corr151.1
#corr151.29
#corr154.15
#corr157.9
#corr167.3
#corr168.12
#corr168.7
#corr180.2
#corr198.32
#corr205.11
#corr208.10
#corr214.8
#corr218.28
#corr219.26
#corr222.19
#corr2.23
#corr224.2
#corr227.35
#corr230.34
#corr230.7
#corr246.31
#corr247.30.1
#corr247.30.2
#corr249.32
#corr255.25
#corr259.20
#corr260.28
#corr267.13
#corr272.24
#corr273.8
#corr276.25
#corr277.12
#corr277.21
#corr278.19
#corr286.8
#corr290.1
#corr292.1
#corr292.27
#corr295.6
#corr318.26
#corr349.34
#corr47.20
#corr55.31
#corr57.17
#corr61.23
#corr63.14
#corr72.24
#corr74.27
#corr83.27
#corr92.60
#corr97.11
#Cosmic/Galactic rays at historical high in summer 2019
#Creatures & Cryptid Files Vol 1: Bigfoot, Loch Ness Monster, and El Chupacabra (52:30)
#Credibility from non-[bio, psycho]logical applications of Grossberg's ART
#Crick-Koch 1990 Towards a neurobiological theory of consciousness
#crypto [BTC,ETH,COIN], 10y T-bill
#Data, Methodolgy, Applications, Software
#[data, software] cart [description, links]
#Data sources
#?date? cART conciousness ART
#?date? CLEARS [Cognition, Learning, Expectation, Attention, Resonance, Synchrony]
#?date? CogEm Cognitive-Emotional model
date.html#582
#?date? LAMINART Laminar computing ART
#Defensive measures
#Definitions: nuclear [material, process, deactivate]s
#Definitions of consciousness
#Definitions of sentience
#Dehaene–Changeux 1986 global neuronal workspace model
#Description
#Detailed [description, specification]
#[dichotomies, beliefs]: don't drop the dark side
#Digitize graph curves using https://www.digitizeit.xyz/ software
#Disadvantages : 
#[DNA, rhibosome, etc] addresses
#DNA transcription to mRNA
#dorsal concious, ventral sub-concious
#Do single-linear-regressions of price [revolution, equilibrium] segments
#Do these comments have anything to do with consciousness?
#[, d, p]ARTSCAN attentional shroud, binocular rivalry
#Ecclesiastes
#Eccles keynote, Pribram post-conference viewpoint
#Edo Kaal presentation 'The Structured Atom Model', EU2017 conference
#Edo Kaal's 'Structured Atom Model' (SAM)
#Eileen Mckusick - Mastering the Human Biofield with Tuning Forks
#Electricity in Ancient Egypt (Andrew Hall)
#Electric scarring of the Earth's surface (Paul Anderson)
#Electric Universe Geology, arc blasts (Andrew Hall, Ben Davidson friend)
#Electromagnetic theories of consciousness
#Emergent Gemini potential, as per initial learning examples
#endnote
#Endocrine system
/entertainment/tvtimes/
#equations of the [brain, mind]
#Exodus proofs ~1.5kyrBP (Simcha Jacobovici)
#Expanding Earth? (Ott Hilgenberg, James Maxlowe, Neal Adams)
#Explainable AI
#Ezra
#family of ART.....base, linguistic
#family of ART ....visual, auditory
#Financial system fraud detection: the main line of defense
#Finding Agartha: The Search for the Hidden City in the Center of the Earth (38:29)
#Follow-up questions
Follow-up questions
#Forgotten tools?
#fractal [dendrite, axon]s
#fractal themes for multi-fractal analysis
#fraudulent intellectualism?
#full video transcript
#Full video transcript
#Functionalism
#Future objectives
#Future related work
#Gareth Samuel 03Jul2021 The Structured Atom Model | Thunderbolts
#Gary Marcus: Current LLMs do NOT possess 'Artitifial General Intelligence' (AGI)
#Genesis
#Ghost Lights or Alien Tech? Signals from Beyond the Grave or Beyond the Solar System? (30:01)
#gimp :  curve, make [continuous, mono-color]
#gimp - remove [adjacent, cross-over] curves for each curve-file : 
#gimp - [rotate, crop] graphs from each cell-photo
#Giulio Tononi 2004 Integrated information theory
#GNU Image Manipulation Program (gimp) - Image preparation for each curve of each graph
#GNUplot - create graph of nominal data
 + google_ads[i].url +
#Google Gemini:
' + google_info.feedback_url + 
#GoTo
#Great aunt Donna and the elasmosaur (Comox museum)
#Great truths, or not?
#Grossberg 2021: cellular evolution and top-down-bottom-up mechanisms
#Grossberg & colleagues - 
#Grossberg OR[anticipated, predicted, unified] the [experimental result, model]s
#Grossberg: other consciousness theories
#Grossberg's comments for some well-known consciousness theories
#Grossberg's [non-linear DEs, CogEm, CLEARS, ART, LAMINART, cART] models
#Grossberg: why ART is relevant to consciousness in Transformer NNs
#Habakkuk
#Haggai
#Heros, Mud&Molasses, Bums
#hippocampus IS a cognitive map!
#Historical pandemics
#Historical thinking about quantum [neurophysiology, consciousness]
Holidays - neural networks and genomics.html
/home/bill/web/\1.dat
/home/bill/web/20120 [before, after] running head-on into a semi-tractor trailor hauling propane.jpg
/home/bill/web/Bill Howells videos/120214 Venus et Mars, au dela d une histoire d amour/Mythology.ogv
/home/bill/web/Bill Howells videos/140214 Nazis saved Norwegians video/Nazis saved Norwegian lives.ogv
/home/bill/web/Bill Howells videos/150525 Icebreaker unchained  - We should have lost World War II/
/home/bill/web/Bill Howells videos/150525 Icebreaker unchained  - We should have lost World War II/Script for Icebreaker Unchained.pdf
/home/bill/web/Bill Howells videos/160901 Big Data, Deep Learning, and Safety/
/home/bill/web/Bill Howells videos/160901 Big Data, Deep Learning, and Safety/Howell 161220 Big Data, Deep Learning, Safety.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/CI_intro.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Cognition.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Conclusions.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/ExpandEarth_ContDrift.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/ExpandEarth_experiment.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/ExpandEarth_Neal_Adams_vid.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/ExpandEarth_wrong.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Hearing_aids.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Introduction.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Language_translation.ogv
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Past & future worlds.html
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Programming code/
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/CI_intro/
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/2 Batman with bats.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/Australia - Canada ~040 MyrBP.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/Australia - Canada ~160 MyrBP.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/Australia - Canada ~180 MyrBP.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/Australia - Canada ~200 MyrBP.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/Mars - same as expanding Earth.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/rift Pacific E-W off North America.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/rift Pacific E-W off South America.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Scenes/ExpandEarth_Neal_Adams_vid/rift seafloor ages mid-Atlantic, N&S America coast.png
/home/bill/web/Bill Howells videos/170930 Past and Future Worlds - a STEM for kids/Wrong_theories.ogv
/home/bill/web/Bill Howells videos/220331 Hydrogen future Alberta/Howell - hydrogen future Alberta.odp
/home/bill/web/Bill Howells videos/220331 Hydrogen future Alberta/Howell - hydrogen future Alberta.pdf
/home/bill/web/Bill Howells videos/220331 Hydrogen future Alberta/scripts - hydrogen future Alberta.txt
/home/bill/web/Bill Howells videos/250927 Ocean Ru tale/A tale of Ocean Ru script.HtmWeb.html#Table of Contents
/home/bill/web/Bill Howells videos/Birkeland rotation in galaxy - not dark matter/Birkeland rotation in galaxy - not dark matter.HtmWeb.html
/home/bill/web/Bill Howells videos/Birkeland rotation in galaxy - not dark matter/Dark matter video 1 - initial, simple.mpeg
/home/bill/web/Bill Howells videos/Birkeland rotation in galaxy - not dark matter/stars & Birkeland-000000.jpg
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/home/bill/web/bin/
/home/bill/web/bin/0_test/fileops/povrL_pStrP_fixLinks/
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/home/bill/web/bin/encrypt/Howell environmental variables.txt
/home/bill/web/bin/fileops [nomenclature, docs].html
/home/bill/web/bin/fileops notes.txt
/home/bill/web/bin/fileops run commentary, overall.html
/home/bill/web/bin/fileops.sh
/home/bill/web/bin/gnuplot.sh
/home/bill/web/bin/webSite update notes.txt
/home/bill/web/CompLangs/complexity, abstraction/con-joint current code.html
/home/bill/web/CompLangs/complexity, abstraction/con-joint forgotten bash code.html
/home/bill/web/CompLangs/complexity, abstraction/con-joint old QNial code.html
/home/bill/web/CompLangs/complexity, abstraction/con-joint previous code that I remembered.html
/home/bill/web/CompLangs/Fractals/0_Fractal notes.txt
/home/bill/web/CompLangs/LibreOffice/Howell_codification_macLib/
/home/bill/web/CompLangs/LibreOffice/LibreCalc bank account macro system.txt
/home/bill/web/CompLangs/PineScript/0_PineScript notes.txt
/home/bill/web/CompLangs/PineScript/1_PineScript errors.txt
/home/bill/web/CompLangs/PineScript/Howell - TradingView PineScript [description, problem, debug].html
/home/bill/web/CompLangs/PineScript/Howell - TradingView PineScript of priceTimeFractals.HtmWeb.html
/home/bill/web/CompLangs/PineScript/Kivanc Ozbilgics Turtle Trade PineScript - documention.txt
/home/bill/web/CompLangs/PineScript/Kivanc Ozbilgics Turtle Trade PineScript, plus 8-year detrended SP500.txt
/home/bill/web/CompLangs/PineScript/RicardoSantos, Function Polynomial Regression.txt
/home/bill/web/CompLangs/PineScript/sickojacko maximum [,relative] drawdown calculating functions.txt
/home/bill/web/CompLangs/PineScript/TradingView auto fib extension.txt
/home/bill/web/Cool emails/
/home/bill/web/Cool stuff/
/home/bill/web/Cool stuff/Gareth Samuel 04Jul202 Edwin Kaal periodic table of the elements.png
/home/bill/web/Cool stuff/Howell - Pandemics and the sun.pdf
/home/bill/web/Cool stuff/Hoyte & Schatten year - solar influence on climate & natural systems, graphs.pdf
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/home/bill/web/economics, markets/0_BillHowell market news/210421 pharma [CRSP,NTLA,BEAM,BLUE,EDIT,ONC] 1Month.png
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/home/bill/web/economics, markets/0_BillHowell market news/210421 SP500, NASDAQ, SHCOMP, 10y T-bill 2004-2021.png
/home/bill/web/economics, markets/0_BillHowell market news/210421 SP500, NASDAQ, SHCOMP, 10y T-bill 6Month.png
/home/bill/web/economics, markets/0_BillHowell market news/210421 USOIL, Canadian [XEG ETF,CNQ,IMO,SU], 10y T-bill 1Month.png
/home/bill/web/economics, markets/0_BillHowell market news/210421 USOIL, Canadian [XEG ETF,CNQ,IMO,SU], 10y T-bill 6Month.png
/home/bill/web/economics, markets/currency-crypto/crypto versus 10 year [interest rate, bonds], 1 year 06No2019-17Dec2020.png
/home/bill/web/economics, markets/currency-crypto/crypto versus 10 year [interest rate, bonds], 5 year 14Dec2015-17Dec2020.png
/home/bill/web/economics, markets/currency-crypto/Currency-crypto 1 month 23Nov-16Dec2020.png
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/home/bill/web/economics, markets/currency-crypto/Currency-crypto 5 day 11-16Dec2020.png
/home/bill/web/economics, markets/currency-crypto/Currency-crypto 5 year 09Jan2017-16Dec2020.png
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/0_Fischer - The Great pricing Waves 1200-1990 AD.HtmWeb.html
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/1850 BC to 2020 AD prices detrended.plt
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/1_Fischer 1200-2020.ods
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 linear regression raw data.dat
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 line segments for GNUplots.dat
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 Price of consumables in England 1201-1993.dat
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 Price of consumables in England 1201-1993 detrended.plt
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 Price of consumables in England 1201-1993 detrended.png
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 Price of consumables in England 1201-1993.plt
/home/bill/web/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 Price of consumables in England 1201-1993.png
/home/bill/web/economics, markets/market data/detrend/
/home/bill/web/economics, markets/market data/detrend/200913/1872-2020 SP500 index semi-log detrended 1871-1926 & 1926-2020, TradingView.png
/home/bill/web/economics, markets/market data/detrend/200913/1872-2020 SP500 index semi-log detrended 1871-1926 & 1926-2020, TradingView - [time, mind] bend.jpg
/home/bill/web/economics, markets/market data/detrend/200913/1872-2020 SP500 index semi-log detrended 1871-1926 & 1926-2020, TradingView.xcf
/home/bill/web/economics, markets/market data/detrend/220802/detrend StockMkt Indices 1871-2022 PuetzUWS2011.png
/home/bill/web/economics, markets/market data/SLregress/200912 semi-log/
/home/bill/web/economics, markets/market data/SLregress/200912 semi-log/1872-2020 SP500 index, ratio of opening price to semi-log detrended price.HtmWeb.html
/home/bill/web/economics, markets/market data/SLregress/200912 semi-log/1872-2020 SP500 index using TradingView & 2 times yahoo finance.png
/home/bill/web/economics, markets/market data/SLregress/200912 semi-log/1872-2020 SP500 index using TradingView & yahoo finance.png
/home/bill/web/economics, markets/market data/SLregress/200912 semi-log/SP500 1872-2020 TradingView, 1928-2020 yahoo finance.ods
/home/bill/web/economics, markets/market data/SLregress/200912 semi-log/SP500 1872-2020 TradingView download.dat
/home/bill/web/economics, markets/market data/SLregress/200912 semi-log/SP500 TradingView eyeballed trends for (1872-1926) and (1926-2020).png
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/home/bill/web/economics, markets/options/TSLA/price TSLA [call,putt] strikeDate 210618.png
/home/bill/web/economics, markets/options/TSLA/volum TSLA [call,putt] strikeDate 210618.png
/home/bill/web/economics, markets/PE Schiller forward vs 10yr Tbills/Howell - SP500 PE Shiller ratios versus 10 year Treasury bond yields, with earnings growth & discount factors.ods
/home/bill/web/economics, markets/PE Schiller forward vs 10yr Tbills/S&P 500 Shiller-forward PE versus 10y US Treasury bond rates.jpg
/home/bill/web//home/bill/web/ProjMajor/Electric Universe/[time, length, theme] multifractals/EU [physics, astronomy].HtmWeb.html
/home/bill/web /home/bill/web/Sun Charvatova/Charvatova related files/Howell - solar inertial motion - NASA-JPL versus Charvatova.pdf
/home/bill/web /home/bill/web/Sun Charvatova/Radioisotopes/Howell Aug08 - Charvatova's hypothesis & Isotopic solar proxies.pdf
/home/bill/web/homePage highlights.html
/home/bill/web/???.HoNwp.html#Table of Contents
/home/bill/web/???.HoWeb.html#Table of Contents
/home/bill/web/???.HtmWeb.html#Table of Contents
/home/bill/web/My sports & clubs/museum- Tyrell/images/20250503_133955 Tyrrell Humble origins right rocks.jpg
/home/bill/web/My sports & clubs/museum- Tyrell/images/20250503_134003 Tyrrell Humble origins all rocks.jpg
/home/bill/web/My sports & clubs/museum- Tyrell/images/20250503_134248 Tyrrell worlds oldest macroscopic fossils Mistaken Point Newfoundland.jpg
/home/bill/web/My sports & clubs/natural- Sacha Dobler/Sacha Dobler 26Oct2018 human deaths versus solar activity.jpg
/home/bill/web/My sports & clubs/natural- Suspicious/240815 Davidson geomag excursion events [6,12]ky periods back to 60 kyBP.png
/home/bill/web/My sports & clubs/natural- Suspicious/references/sunClimate- Precession and ice sheet control of hydroclimate in Arctic East Beringia over the past 240,000 years 22Jul2025 Fei Guo etal.pdf
/home/bill/web/My sports & clubs/natural- Thunderbolts/Electric Universe [time, length] multifractal.html
/home/bill/web/My sports & clubs/natural- Thunderbolts/Electric Universe [time, length, theme] multifractals.html
/home/bill/web/My sports & clubs/natural- Thunderbolts/EU [weather, climate].html
/home/bill/web/My sports & clubs/natural- Thunderbolts/EU [weather, climate].jpg
/home/bill/web/My sports & clubs/natural- Thunderbolts/Howell: [brain wav, Schumann resonance]s.html
/home/bill/web/My sports & clubs/natural- Thunderbolts/Howell: [brain wav, Schumann resonance]s.png
/home/bill/web/My sports & clubs/natural- Thunderbolts/images/Howell: Electric Universe [time, length] multifractal.jpg
/home/bill/web/My sports & clubs/z_History/natural- FECC Fusion/220928 FECC AGM/220928 FECC Whyte - engineeering problems, image of spark.png
/home/bill/web/Neural nets/callerID-SNNs/
/home/bill/web/Neural nets/callerID-SNNs/callerID-SNNs.HtmWeb.html
/home/bill/web/Neural nets/callerID-SNNs/images/Asl, Valizadeh, Tass 2017 Fig 1 Possible synaptic modifications of two interconnected neurons fire nearly inphase in the presence of dendritic and axonal propagation delays.png
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Antonio Damasio 1999 Body and Emotion in the making of consciousness
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Bernard Baars 1988 global workspace model
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Crick-Koch model
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Dehaene–Changeux model
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Electromagnetic theories of consciousness
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Functionalism
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Giulio Tononi 2004 Integrated information theory
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Historical thinking about consciousness
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Llinas 1998 Recurrent thalamo-cortical resonance
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Multiple drafts
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#quantum processes in neuron microtubules
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Selected_models_of_consciousness:
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Stanislas Dehaene 2014 neural global workspace model
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.html#Thalamic reticular networking
/home/bill/web/Neural nets/consciousness/[definitions, models] of consciousness.HtmWeb.html
/home/bill/web/Neural nets/consciousness/Introduction.html#Grossberg's c-ART, Transformer NNs, and consciousness?
/home/bill/web/Neural nets/consciousness/Introduction.HtmWeb.html
/home/bill/web/Neural nets/consciousness/Introduction.HtmWeb.html#Credibility from non-[bio, psycho]logical applications of Grossberg's ART
/home/bill/web/Neural nets/consciousness/Introduction.HtmWeb.html#Grossberg's c-ART, Transformer NNs, and consciousness?
/home/bill/web/Neural nets/consciousness/Introduction.HtmWeb.html#Questions: Grossberg's c-ART, Transformer NNs, and consciousness?
/home/bill/web/Neural nets/consciousness/machine consciousness, the need.HtmWeb.html
/home/bill/web/Neural nets/consciousness/opinions- Blake Lemoine, others.HtmWeb.html
/home/bill/web/Neural nets/consciousness/opinions- Blake Lemoine, others.HtmWeb.html#Blake Lemoine: Is LaMDA Sentient?
/home/bill/web/Neural nets/consciousness/Pribram 1993 quantum fields and consciousness proceedings.HtmWeb.html
/home/bill/web/Neural nets/consciousness/Pribram 1993 quantum fields and consciousness proceedings.HtmWeb.html#Historical thinking about quantum [neurophysiology, consciousness]
/home/bill/web/Neural nets/consciousness/Pribram 1993 quantum fields and consciousness proceedings.HtmWeb.html#Howells questions about 1993 conference proceedings
/home/bill/web/Neural nets/consciousness/Pribram quantum consciousness cover 6pct.png
/home/bill/web/Neural nets/consciousness/Quantum consciousness.HtmWeb.html#Historical thinking about quantum [neurophysiology, consciousness]
/home/bill/web/Neural nets/consciousness/Social media/Howell 111230 - Social graphs, social sets, and social media.doc
/home/bill/web/Neural nets/consciousness/Taylors consciousness.HtmWeb.html
/home/bill/web/Neural nets/consciousness/What is consciousness: from historical to Grossberg.HtmWeb.html
/home/bill/web/Neural nets/consciousness/What is consciousness: from historical to Grossberg.HtmWeb.html#Consciousness: table of comparisons
/home/bill/web/Neural nets/dendrite/dendrite.HtmWeb.html
/home/bill/web/Neural nets/emotion/Howell: what is emotion.HtmWeb.html#Table of Contents
/home/bill/web/Neural nets/genetic mechanisms/genetic mechanisms for [protein, program] code.html
/home/bill/web/Neural nets/genetic mechanisms/genetic mechanisms for [transport, code].html
/home/bill/web/Neural nets/Grossberg/Grossbergs [core, fun, strange] concepts.html
/home/bill/web/Neural nets/Grossberg/Grossbergs [core, fun, strange] concepts.html#ART - Adaptive Resonance Theory
/home/bill/web/Neural nets/Grossberg/Grossbergs [core, fun, strange] concepts.html#[bio, neuro, psycho]logy data
/home/bill/web/Neural nets/Grossberg/Grossbergs [core, fun, strange] concepts.html#Consciousness
/home/bill/web/Neural nets/Grossberg/Grossbergs [core, fun, strange] concepts.html#Credibility from non-[bio, psycho]logical applications of Grossberg's ART
/home/bill/web/Neural nets/Grossberg/Grossbergs [core, fun, strange] concepts.html#Navigation: [menu, link, directory]s
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 10 - Laminar computing by cerebral cortex
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 11 - How we see the world in depth
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 12 - From seeing and reaching to hearing and speaking
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 13 - From knowing to feeling
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 14 - How prefrontal cortex works
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 15 - Adaptively timed learning
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 16 - Learning maps to navigate space
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 17 - A universal development code
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 1 - Overview
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 2 - How a brain makes a mind
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 3 - How a brain sees: Constructing reality
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 4 - How a brain sees: Neural mechanisms
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 5 - Learning to attend, recognize, and predict the world
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 6 - Conscious seeing and invariant recognition
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 7 - How do we see a changing world?
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 8 - How we see and recognize object motion
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Chapter 9 - Target tracking, navigation, and decision-making
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [chapter, section]s.html#Preface
/home/bill/web/Neural nets/Grossberg/Grossbergs list of [figure, table]s.html
/home/bill/web/Neural nets/Grossberg/Grossbergs overview.html#Credibility from non-[bio, psycho]logical applications of Grossberg's ART
/home/bill/web/Neural nets/Grossberg/Grossbergs overview.html#The underlying basis in [bio, psycho]logical data
/home/bill/web/Neural nets/Grossberg/Grossbergs overview.HtmWeb.html
/home/bill/web/Neural nets/Grossberg/Grossbergs overview.HtmWeb.html#Early ARTMAP benchmark studies
/home/bill/web/Neural nets/Grossberg/Grossbergs overview.HtmWeb.html#The underlying basis in [bio, psycho]logical data
/home/bill/web/Neural nets/Grossberg/Grossbergs quoted text.HtmWeb.html
/home/bill/web/Neural nets/Grossberg/Howell notes: Grossberg 2025.HtmWeb.html#Table of Contents
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 1st prize, Matt Pritchard- The Phantom Queen.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 2nd prize, Michael Cohen- The Changing Room Illusion.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 3rd prize, Dawei Bai & Brent Strickland - The Double Ring Illusion.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 Christopher Tyler and David Phillips - Emergent City Flyby with Colossus.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 Kokichi Sugihara - Rising Object Illusion.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 Michael Cheshire - Cubic Confusion.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 Olivier and Chloe Redon - Oh La La Box.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 Pascal Wallisch & Michael Karlovich - Crocs & Socks.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 Peter Veto - The Phantom Wiggle.ogv
/home/bill/web/Neural nets/Grossberg/IllusionOfTheYear/2021 Yutaro Sato, Kento Imai and Kenri Kodaka - Slime Hand.ogv
/home/bill/web/Neural nets/Grossberg/images- captioned/cover image.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p002fig01.01 Seeing an object vs knowing what it is.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p002fig01.02 Dalmation in snow.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p003fig01.03 Amodal completion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p004fig01.04 Kanizsa stratification: transparency images.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p008fig01.05 Noise-saturation dilemma: cell activity; current activity.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p009fig01.06 Primacy gradient of activity in a recurrent shunting OC-OS network.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p011fig01.07 signal function determines how initial activity pattern is transformed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p012fig01.08 Sigmoidal signal: a hybrid of [same, slower, faster]-than-linear.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p013fig01.09 sigmoid signal: quenching threshold; contrast enhancement.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p016fig01.10 Minimal adaptive prediction: blocking and unblocking.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p016fig01.11 BU-TD mismatch -> orienting system -> nonspecific arousal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p018fig01.12 Peak shift and behavioural contrast: prefer new experiences.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p019fig01.13 Affective circuits are organized into opponent channels.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p023fig01.14 gated dipole opponent process: sustained on-response; transient off-response.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p024fig01.15 READ circuit: REcurrent Associative Dipole.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p025fig01.16 Cognitive-Emotional-Motor (CogEM) model: sensory cortex, amygdala, PFC.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p025fig01.17 Sensory-drive heterarchy vs drive hierarchy.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p026fig01.18 Inverted-U behaviour vs arousal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p027fig01.19 ventral What [percept, class], dorsal Where [spatial represent, action].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p029tbl01.01 complementary streams [visual boundary, what-where, perception & recognition, object tracking, motor target].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p030fig01.20 neo-cortex 6 layers: same canonical laminar design cart [vision, speech, cognition].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p030tbl01.02 complementary streams: What- [rapid, stable] learn invariant object categories, Where- [labile spatial, action] actions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p032fig01.21 [Retina, LGNs, V[1,2,3,4], MT] to What & Where areas.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p035fig01.22 Presentation [normal, silence, noise replaced].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p036fig01.23 working memory [longer list, bigger chunk]s.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p037fig01.24 sentence [learn, store, class] via 3 streams.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p038fig01.25 ART Matching Rule stabilizes learning: [real time learn, object attention].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p039tbl01.03 [consciousness, movement] links: visual, auditory, emotional.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p042tbl01.04 six main resonances which support different kinds of conscious awareness.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p051fig02.01 laterial inhibition: darker appears darker; lighter appears lighter.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p052fig02.02 Adaptive Resonance reactivation: features bottom-up; categories top-down.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p057fig02.03 neuron basic [anatomy, physiology].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p058fig02.04 Learning a global arrow in time.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p059fig02.05 Effects of intertrial and intratrial intervals.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p059fig02.06 Bow due to backward effect in time.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p060fig02.07 Error gradients depend on list position.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p061fig02.08 neural networks can learn forward and backward associations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p063fig02.09 Short Term Memory (STM): Additive Model.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p064fig02.10 STM Shunting Model, mass action in membrane equations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p064fig02.11 MTM habituative transmitter gate; LTM gated steepest descent learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p065fig02.12 Three sources of neural network research: [binary, linear, nonlinear].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p068fig02.13 Hartline: lateral inhibition in limulus retina of horseshoe crab.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p068fig02.14 Hodgkin and Huxley: spike potentials in squid giant axon.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p071fig02.15 Noise-Saturation Dilemma: functional unit is a spatial activity pattern.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p071fig02.16 Noise-Saturation Dilemma:sensitivity to ratios of inputs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p072fig02.17 Vision: brightness constancy, contrast normalization.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p072fig02.18 Vision: brightness contrast, conserve a total quantity, total activity normalization.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p073fig02.19 Computing in a bounded activity domain, Gedanken experiment.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p073fig02.20 Shunting saturation occurs when inputs get larger to non-interacting cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p073fig02.21 Shunting saturation: how shunting saturation turns on all of a cells excitable sites as input intensity increases.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p073fig02.22 Computing with patterns: how to compute the pattern-sensitive variable.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p074fig02.23 Shunting on-center off-surround network: no saturation! infinite dynamical range, conserve total activity.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p075fig02.24 Membrane equations of physiology: shunting equation, not additive.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p076fig02.25 Weber law, adaptation, and shift property, convert to logarithmic coordinates.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p076fig02.26 Mudpuppy retina neurophysiology, adaptation- sensitivity shifts for different backgrounds.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p077fig02.27 Mechanism: cooperative-competitive dynamics, subtractive lateral inhibition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p077fig02.28 Weber Law and adaptation level: hyperpolarization vs silent inhibition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p078fig02.29 Weber Law and adaptation level: adaptation level theory.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p078fig02.30 Noise suppression: attenuate zero spatial frequency patterns- no information.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p078fig02.31 Noise suppression -> pattern matching: mismatch (out of phase) suppressed, match (in phase) amplifies pattern.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p079fig02.32 Substrate of resonance: match (in phase) of BU and TD input patterns amplifies matched pattern due to automatic gain control by shunting terms.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p080fig02.33 How do noise suppression signals arise: symmetry-breaking during morphogenesis, opposites attract rule.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p080fig02.34 Symmetry-breaking: dynamics and anatomy.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p081fig02.35 Ratio contrast detector: reflectance processing, contrast normalization, discount illuminant.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p081fig02.36 [Noise suppression, contour detection]: uniform patterns are suppressed, contrasts are selectively enhanced, contours are detected.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p082fig02.37 Modelling method and cycle (brain): proper level of abstraction; cannot derive a brain in one step.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p085fig02.38 Modelling method and cycle, technological applications: at each stage [behavioural data, design principles, neural data, math model and analysis].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p087fig03.01 Emerging unified theory of visual intelligence: BU-TD interactions overcome complementary processing deficiencies.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p089fig03.02 What do you think lies under the two grey disks (on a checkers board).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p090fig03.03 Kanizsa square and reverse-contrast Kanizsa square precepts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p091fig03.04 blind spot and veins can occlude light to the retina.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p092fig03.05 A cross-section of the retinal layers: light stimuli need to go through all retinal layers.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p093fig03.06 Every line is an illusion!: boundary completion, surface filling-in.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p094fig03.07 Complementary properties of boundaries and surfaces.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p095fig03.08 Computer simulation of a Kanizsa square percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p095fig03.09 Simulation of a reverse-contrast Kanizsa square percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p096fig03.10 The visual illusion of eon color spreading.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p096fig03.11 Another example of neon color spreading.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p098fig03.12 Einstein's face: [edges, texture, shading] are overlaid.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p100fig03.13 Ehrenstein percept weakened as lines deviate from perpendicular.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p100fig03.14 Perpendicular induction at line ends: [locally [,un], globally] preferred.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p100fig03.15 orientations: [transient before, equilibrium after] choice.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p102fig03.16 Ts and Ls group together based on shared orientations, not identities.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p102fig03.17 Positions of squares give rise to a percept of three regions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p103fig03.18 different spatial arrangements of inducers: emergent [horizontal, diagonal] groupings, but inducers have vertical orientations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p103fig03.19 [diagonal, perpendicular, parallel]: thats how multiple orientations can induce boundary completion of an object.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p104fig03.20 Sean Williams: how boundaries can form.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p104fig03.21 Four examples of how emergent boundaries can form in response to different kinds of images.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p105fig03.22 3D vision and figure-ground separation: [multiple-scale, depth-selective] boundary webs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p105fig03.23 pointillist painting: Georges Seurat, A Sunday on la Grande Jatte.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p106fig03.24 Do these ideas work on hard problems: Synthetic Aperture Radar [discount illuminant, filling-in, boundaries].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p107fig03.25 Matisse, The Roofs of Collioure.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p107fig03.26 drawing directly in color leads to colored surface representations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p108fig03.27 Matisse: Open Window, Collioure, [continuously, sparsely] indiced surfaces.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p108fig03.28 Baingio Pinna, Watercolor illusion filled-in regions bulge in depth, [multiple-scale, depth-selective] boundary web.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p109fig03.29 Chiaroscuro- Rembrandt self-portrait; Trompe l oeil- Graham Rust.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p109fig03.30 Jo Baer triptych: Primary Light Group [red, green, blue].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p110fig03.31 Henry Hensche painting: The Bather, is suffused with light.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p110fig03.32 Claude Monet painting: Poppies Near Argenteuil.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p112fig03.33 Boundary web gradient can cause self-luminosity, similar to watercolor illusion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p112fig03.34 Examples of Ross Bleckner's self-luminous paintings.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p113fig03.35 Highest Luminance As White (HLAW) rule, Hans Wallach.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p113fig03.36 Blurred Highest Luminance As White (BHLAW) rule.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p114fig03.37 Perceived reflectance vs cross-section of visual field: anchored brightness, self-luminous.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p114fig03.38 Color field painting: Jules Olitski, spray paintings of ambiguous depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p115fig03.39 Gene Davis paintings [full color, monochromatic]: percepts of grouping and relative depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p116fig03.40 Mona Lisa by Leonardo da Vinci: T-junctions and perspective cues give strong percept of depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p117fig03.41 Boundary contours and feature contours- no inhibition, feature signals survive and spread.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p117fig03.42 Two paintings by Frank Stella.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p120fig03.43 Four paintings by Monet of the Rouen cathedral under different lighting conditions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p120fig03.44 Rouen Cathedral at sunset (Monet 1892-1894): equiluminant, obscured and less depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p121fig03.45 Rouen Cathedral full sunlight (Monet 1892-1894): non-uniform lighting, more detail and depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p121fig03.46 Rouen Cathedral full sunlight (Monet 1892-1894): T-junctions greater depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p123fig04.01 Combining stabilized images with filling-in.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p124fig04.02 closed boundaries prevent brightness from flowing.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p126fig04.03 Color constancy: compute ratios, discount the illuminant, compute lightness.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p128fig04.04 reflectance changes at contours: fill-in illuminant-discounted colors.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p129fig04.05 reflectance changes at contours: color contours.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p129fig04.06 reflectance changes at contours: fill-in color; resolve uncertainty.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p130fig04.07 brightness constancy: boundary peaks spatially narrower than feature peaks.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p131fig04.08 brightness constancy: discount illuminant, ratio-sensitive feature contours.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p131fig04.09 Simulation of brightness contrast.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p132fig04.10 Simulation of brightness assimilation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p132fig04.11 Simulation of double step and COCE.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p133fig04.12 Simulation of the 2D COCE.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p133fig04.13 Contrast constancy, relative luminances can be reversed, discounting illuminant.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p134fig04.14 Experiments on filling-in: in-the-act; simulation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p138fig04.15 oriented filtering to grouping and boundary completion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p139fig04.16 Simplest simple cell model: threshold linear, half-wave rectification.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p140fig04.17 Complex cells: pool like-oriented simple cells of opposite polarity.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p141fig04.18 Binocular Disparity to reconstruct depth from 2D retinal inputs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p141fig04.19 Laminar cortical circuit for complex cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p142fig04.20 [, reverse-]Glass patterns give rise to different boundary groupings.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p143fig04.21 Hierarchical resolution of uncertainty for a given field size.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p144fig04.22 End Gap and End Cut simulation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p145fig04.23 A perceptual disaster in the feature contour system.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p145fig04.24 Hierarchical resolution of uncertainty- End Cuts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p146fig04.25 How are end cuts created: two stages of short-range competition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p148fig04.26 End cut during neon color spreading via 2 stages.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p149fig04.27 Bipole cells boundary completion: long cooperation & short inhibition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p150fig04.28 Bipole property: boundary completion via long-range cooperation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p151fig04.29 bipole cells in cortical area V2: first neurophysiological evidence.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p151fig04.30 anatomy: horizontal connections in V1.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p152fig04.31 Bipoles through the ages.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p153fig04.32 Double filter and grouping network.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p156fig04.33 emergent boundary groupings can segregate textured regions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p157fig04.34 texture: Boundary Contour System resolves errors of complex channels model.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p159fig04.35 Spatial impenetrability prevents grouping.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p159fig04.36 Graffiti art by Banksy: amodal boundary completion; spatial impenetrability.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p161fig04.37 Boundary Contour System model: analog-sensitive boundary completion Kanizsas.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p162fig04.38 Cooperation and competition during grouping.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p163fig04.39 LAMINART model explains key aspects of visual cortical anatomy and dynamics.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p164fig04.40 Koffka-Benussi ring.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p165fig04.41 Kanizsa-Minguzzi ring.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p166fig04.42 Computer simulation of Kanizsa-Minguzzi ring percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p167fig04.43 T-junction sensitivity: image, Bipole cells, boundary.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p168fig04.44 main [boundary, surface] formation stages: LGN-> V1-> V2-> V4.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p168fig04.45 ON and OFF feature contours: filled-in regions when adjacent to boundary.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p170fig04.46 regions can fill-in feature contour inputs when [adjacent to, collinear with] boundary contour inputs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p170fig04.47 A double-opponent network processes output signals from FIDOs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p171fig04.48 closed boundaries -> filling-in; open boundaries -> color spread.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p171fig04.49 DaVinci stereopsis and occlusion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p173fig04.50 closed boundary at prescribed depth: addition of [bi, mon]ocular boundaries.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p174fig04.51 figure-ground separation, complementary consistency [boundaries, surfaces].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p174fig04.52 Stereogram surface percepts: surface lightnesses are segregated in depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p176fig04.53 OC-OS [within position, across depth]: brighter Kanizsas look closer.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p178fig04.54 figure-ground separation: bipole cooperation and competition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p178fig04.55 Amodal completion of boundaries and surfaces in V2.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p179fig04.56 Visible surface 3D perception: boundary enrichment, surface filling-in.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p181fig04.57 relative contrasts induce: unimodal and bistable transparency; or flat 2D surface.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p182fig04.58 LAMINART explains many percepts of transparency.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p186fig05.01 Learn many-to-one (compression, naming), one-to-many (expert knowledge) maps.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p186fig05.02 Many-to-one map, two stage compression: [visual, auditory] categories.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p186fig05.03 Many-to-one map: IF-THEN rules: [symptom, test, treatment]s; length of stay.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p189fig05.04 hippocampus & several brain regions [learn, remember] throughout life.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p192fig05.05 LGN [ON, OFF] cells respond differently to [side, end]s of lines.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p192fig05.06 BU-TD circuits between the LGN and cortical area V1, ART Matching Rule.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p193fig05.07 detailed connections between [retinal ganglion cells, LGN, V1].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p193fig05.08 LGN [activation, inhibition], with[, out] top-down feedback.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p194fig05.09 [feature, boundary] contours from Ehrenstein disk stimulus.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p198fig05.10 Competitive learning and Self-Organized Maps (SOMs).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p199fig05.11 Instar learning: bottom-up adaptive filter for feature patterns.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p200fig05.12 Duality of [outstar, instar] networks.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p200fig05.13 Expectations focus attention: instar BU filters, outstar TD expectations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p200fig05.14 Outstar learning, both [in, de]creases for LTM to learn STM pattern.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p201fig05.15 Spatial learning pattern, outstar learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p202fig05.16 Geometry of choice and learning, classifying vector.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p202fig05.17 Geometry of choice and learning, trains the closest LTM vector.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p205fig05.18 catastrophic forgetting due to [competition, associative] learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p207fig05.19 ART: [attentional, orienting] systems learn novel categories, no catastophic forgetting.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p211fig05.20 [PN match, N200 mismatch] computationally complementary potentials.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p211fig05.21 ART predicted correlated P120-N200-P300 ERPs during oddball learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p213fig05.22 If inputs incorrectly activate a category, how to correct the error.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p213fig05.23 A [category, symbol, other] cannot determine whether an error has occurred.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p214fig05.24 Learning top-down expectations occurs during bottom-up learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p214fig05.25 Error correction: [learn, compare] TD-BU inputs, Processing Negativity ERP.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p214fig05.26 Mismatch triggers nonspecific arousal, N200 ERP from orienting system.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p215fig05.27 Every event has [specific attentional cue, nonspecific orienting arousal].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p215fig05.28 BU+TD mismatch arousal and reset if degree of match < ART vigilance.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p220fig05.29 Vigilance [excitation: search better match, inhibition: resonance & learning].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p221fig05.30 predictive error -> vigilance increase just enough -> minimax learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p221fig05.31 Fuzzy ARTMAP can associate categories between ART networks, minimax learn.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p224fig05.32 Learning the alphabet with two different levels of vigilance.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p225fig05.33 Some early ARTMAP benchmark studies (no image - link instead).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p225fig05.34 ARTMAP learned maps of natural terrains better than AI expert systems.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p226fig05.35 Code instability sequences: [competitive learning, self-organizing map].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p226fig05.36 catastrophic forgetting without ART Matching Rule due to superset recoding.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p228fig05.37 neurotrophic Spectrally Timed ART (nSTART) model.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p230fig05.38 Synchronous Matching ART (SMART) spiking neurons in laminar cortical hierarchy.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p231fig05.39 SMART: vigilance increase via nucleus basalis of Meynert acetylcholine.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p232fig05.40 SMART generates γ oscillations for good match; β oscillations for bad match.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p232fig05.41 mismatch reset interlaminar events sequence [data, SMART predictions].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p233fig05.42 Evidence for the [gamma, beta] prediction in 3 parts of the brain.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p236fig05.43 nucleus basalis of Meynert releases ACh, reduces AHP, increases vigilance.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p240fig05.44 models using only local computations look like an ART prototype model.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p240fig05.44 The 5-4 category structure example: ART learns the same kinds of categories as human learners.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p242fig05.46 Distributed ARTMAP variants learn the 5-4 category structure.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p245fig05.47 [long-range excitatory, short-range disynaptic inhibitory] connections realize the bipole grouping law.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p246fig05.48 LAMINART model: BU adaptive filtering, horizontal bipole grouping, TD attentional matching.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p248fig05.49 LAMINART explains Up and Down states during slow wave sleep, ACh dynamics.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p252fig06.01 surface-shroud resonance forms as objects bid for spatial attention.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p253fig06.02 Surface-shroud resonance BU-TD OC-OS: perceptual surfaces -> competition -> spatial attention.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p254fig06.03 ARTSCAN Search model learns to recognize and name invariant object categories.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p255fig06.04 The ARTSCAN Search for a desired target object in a scene: Wheres Waldo.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p257fig06.05 Spatial attention flows along object boundaries: Macaque V1.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p258fig06.06 Neurophysiological data & simulation: attention can flow along a curve.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p258fig06.07 Top-down attentional spotlight becomes a shroud.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p259fig06.08 dARTSCN spatial attention hierarchy [Fast Where, Slow What] stream.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p260fig06.09 Crowding: visible objects & confused recognition, increased flanker spacing at higher eccentricity.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p260fig06.10 cortical magnification transforms coordinates: artesian (retina) to log polar (V1).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p261fig06.11 Crowding: visible objects and confused recognition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p261fig06.12 A more serial search is needed due to overlapping conjunctions of features.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p265fig06.13 basal ganglia gate perceptual, cognitive, emotional, etc through parallel loops.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p267fig06.14 Perceptual consistency and figure-ground separation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p268fig06.15 saccades within an object: figure-ground outputs control eye movements via V3AA.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p270fig06.16 Predictive remapping of eye movements, from V3A to LIP.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p271fig06.17 Persistent activity in IT to [view, position, size]-invariant category learning by positional ARTSCAN.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p272fig06.18 pARTSCAN: positionally-invariant object learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p272fig06.19 persistent activity needed to learn positionally-invariant object categories.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p273fig06.20 pARTSCAN simulation of Li & DiCarlo IT cell swapping data.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p274fig06.21 pARTSCAN [position invariance, selectivity] trade-off of Zoccolan etal 2007.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p274fig06.22 pARTSCAN: IT cortex processes image morphs with high vigilance.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p275fig06.23 IT responses to image morphs, data vs model.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p275fig06.24 Sterogram surface percepts: surface lightnesses are segregated in depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p276fig06.25 saccades: predictive gain fields [binocular fusion, filling-in of surfaces].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p277fig06.26 Predictive remapping maintains binocular boundary fusion as eyes move.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p278fig06.27 knowing vs seeing resonances: What [knowing, feature-prototype], Where [seeing, surface-shroud].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p278fig06.28 knowing vs seeing resonances: visual agnosia- reaching without knowing.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p283fig07.01 Boundary competition: spatial habituative gates, orientation gated dipole, bipole grouping.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p284fig07.02 Persistence decreases with flash illuminance & duration [data, simulations].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p285fig07.03 Persistence decrease: rebound to input offset inhibits bipole cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p286fig07.04 Illusory contours persist longer than real contours.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p286fig07.05 Illusory contours inhibited by OFF cell rebounds, propagate to center.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p287fig07.06 Persistence: [less, more] as adaptation orientation [same, orthogonal].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p287fig07.07 Persistence increases with distance, due to weaker spatial competition in hypercomplex cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p290fig08.01 Motion pools contrast-sensitive information moving in the same direction.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p291fig08.02 Complex cells respond to motion: opposite [direction, contrast polarities].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p292fig08.03 Visual aftereffects: [form- MacKay 90 degree, motion- waterfall  180].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p293fig08.04 Local vs overall motion: aperture problem of EVERY neurons receptive field.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p295fig08.05 sparse feature tracking signals [capture ambiguous, determine perceived] motion direction.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p296fig08.06 Simplest example of apparent motion: two dots turning on and off.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p296fig08.07 continuous motion illusions: [Beta with, Phi without] percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p297fig08.08 Delta motion when [luminance, contrast] of flash 2 is larger than flash 1.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p297fig08.09 motion in opposite directions perceived when 2 later flashes on either side of 1st flash.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p298fig08.10 motion speed-up perceived when flash duration decreases.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p298fig08.11 illusory contours: double illusion in V1-V2, motion V2-MT interaction.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p300fig08.12 Single flash: Gaussian receptive fields, recurrent OC-OS winner-take-all.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p300fig08.13 Nothing moves: [single flash, exponential decay], Gaussian peak fixed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p300fig08.14 Visual inertia: flash decay after the flash shuts off.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p301fig08.15 two flashes: cell activation by first waning while second one is waxing.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p301fig08.16 sum Gaussian flash activity profiles: [waning 1st, waxing 2nd] -> travelling wave.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p302fig08.17 maximum long-rang apparent motion: Gaussian kernel spans successive flashes.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p302fig08.18 G-wave theorem 1: wave moves continuously IFF L <= 2*K.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p303fig08.19 No motion vs motion at multiple scales: flash distance L, Gaussian width K.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p303fig08.20 G-wave theorem 2: [speed-up, scale] independent of [distance, scale size].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p304fig08.21 Equal half-time property: multiple scales generate motion percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p304fig08.22 Korte Laws: ISIs in the hundreds of milliseconds can cause apparent motion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p305fig08.23 Ternus motion: ISI [small- stationary, intermediate- element, larger- group].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p305fig08.24 Reverse-contrast Ternus motion: ISI [small- stationarity, intermediate- group (not element!), larger- group] motion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p306fig08.25 Motion BCS model [explain, simulate]s long-range motion percepts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p306fig08.26 3D FORMOTION model: track objects moving in depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p307fig08.27 Ternus motion: [element- weak, group- strong] transients, element [visual persistence, perceived stationarity].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p308fig08.28 Ternus group motion: Gaussian filter of 3 flashes forms one global maximum.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p310fig08.29 when individual component motions combine, their perceived direction & speed changes.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p311fig08.30 3D FORMOTION model: feature tracking [get directional, inhibit inconsistent] signals.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p311fig08.31 Motion BCS stages: locally ambiguous motion signals -> globally coherent percept, solving the aperture problem.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p312fig08.32 Schematic of motion filtering circuits.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p312fig08.33 Processing motion signals by a population of speed-tuned neurons.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p314fig08.34 VISTARS navigation model: FORMOTION front end for navigational circuits.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p315fig08.35 How to select correct direction and preserve speed estimates.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p316fig08.36 Motion capture by directional grouping feedback.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p317fig08.37 Motion capture by directional grouping feedback: [short, long]-range filters, transient cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p319fig08.38 Solving the aperture problem takes time.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p320fig08.39 Simulation of the barberpole illusion direction field at two times.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p321fig08.40 [, in]visible occluders [do, not] capture boundaries they share with moving edges.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p322fig08.41 motion transparency: asymmetry [near, far], competing opposite directions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p323fig08.42 Chopsticks: motion separation in depth via [, in]visible occluders [display, percept].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p324fig08.43 ambiguous X-junction motion: MT-MST directional grouping bridges the ambiguous position.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p325fig08.44 The role of MT-V1 feedback:  [motion-form feedback, bipole boundary completion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p325fig08.45 Closing formotion feedback loop [MT, MST]-to-V1-to-V2-to-[MT, MST].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p326fig08.46 How do we perceive relative motion of object parts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p327fig08.47 Two classical examples of part motion: Symmetrically moving inducers; Duncker wheel.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p328fig08.48 vector decomposition: (retinal - common = part) motion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p328fig08.49 What is the mechanism of vector decomposition, prediction: directional peak shift.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p329fig08.50 How is common motion direction computed?  retinal motion->  bipole grouping (form stream)->  V2-MT formotion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p329fig08.51 Large and small scale boundaries differentially form illusory contours.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p330fig08.52 Correct motion directions after the peak shift top-down expectation acts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p330fig08.53 Simulation of the various directional signals of the left dot through time.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p331fig08.54 Motion directions of a single dot moving slowly along a cycloid curve through time.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p331fig08.55 Duncker Wheel, large: stable rightward motion at the center captures motion at the rim.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p332fig08.56 Duncker Wheel, small: wheel motion as seen when directions are collapsed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p332fig08.57 MODE (MOtion DEcision) model: Motion BCS -> saccadic target selection -> basal ganglia.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p333fig08.58 LIP responses during RT task correct trials: coherence and [activation, inhibition].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p334fig08.59 LIP responses for FD task: predictiveness decreases with increasing coherence.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p334fig08.60 [RT, FD] task behavioral data: more coherence in the motion causes more accurate decisions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p335fig08.61 RT task behavioural data: reach time (ms) vs % coherence.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p335fig08.62 LIP encodes not only where, but also when, to move the eyes - No Bayes.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p338fig09.01 optic flow through brain regions: moving observer [navigate, track] moving object.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p338fig09.02 Heading (focus of velocity field) from optic flow: humans accurate +- 1 to 2 degrees.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p339fig09.03 Heading with [body move, eye rotate, combined] -> optic flow [expand, translate, rotate].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p339fig09.04 How can translation flow (eye rotation) be subtracted from spiral flow to recover the expansion flow.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p340fig09.05 efference copy command: may use outflow movement commands to eye muscles.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p340fig09.06 Corollary discharges from outflow movement commands that move muscles.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p340fig09.07 Log polar remapping of optic flow:  [expansion, circular] motion maps to single direction.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p341fig09.08 optic flows [retina, V1, MT, MSTd, parietal cortex], V1 log polar mapping.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p341fig09.09 MSTd cells are sensitive to [spiral, rotation, expansion] motion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p342fig09.10 Retina -> log polar -> MSTd cell, heading eccentricity.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p342fig09.11 importance of efference copy in real movements.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p343fig09.12 two retinal views of the Simpsons: [separate, recognize] overlapping figures.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p343fig09.13 How do our brains figure out which views belong to which pear.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p344fig09.14 Heading sensitivity unimpaired: MT tuning width 38°, MSTd spiral tuning 61°.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p345fig09.15 MT double opponent directional fields: relative motions [objects, backgrounds].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p346fig09.16 macrocircuit of 13 brain regions used to move the eyes.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p347fig09.17 leftward eye movement model: retina-> MT-> MST[v,d]-> pursuit.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p347fig09.18 MST[v,d] circuits enable predictive target tracking by the pursuit system.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p348fig09.19 MSTv cells: target speed on retina, background speed on retina, pursuit speed command.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p349fig09.20 Steering from optic flow: goals are attractors, obstacles are repellers.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p349fig09.21 Steering dynamics goal approach: [obstacle, goal, heading] -> steering.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p350fig09.22 negative Gaussian of an obstacle: avoid obstacle without losing sight of goal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p350fig09.23 Unidirectional transient cells: [lead, trail]ing boundaries, driving video.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p351fig09.24 Directional transient cells respond most to motion in their preferred directions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p351fig09.25 M+ computes global motion estimate from noisy local motion estimates.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p352fig09.26 heading direction final stage: beautiful optic flow, accuracy matches humans.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p354fig10.01 [Top-down attention, folded feedback] supports predicted ART Matching Rule.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p355fig10.02 seeing vs knowing distinction is difficult because they interact so strongly.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p356fig10.03 Laminar computing: [self-stabilize learning, fuse [BU pre-,TD]attentive processing, perceptual grouping no analog sensitivity].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p357fig10.04 Laminar Computing: combines feed[forward, back], [analog, digital], [pre,]attentive learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p359fig10.05 Activation of V1 by direct excitatory signals from LGN to layer 4 of V1.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p359fig10.06 Why another layer 6-to-4 signal: on-center off-surround.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p359fig10.07 Together [LGN-to-4 path, 6-to-4 OC-OS] do contrast normalization if cells obey shunting or membrane equation dynamics.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p360fig10.08 [IC 6-to-4, BU-OS LGN-to-6-to-4] excitations BOTH needed to activate layer 4, ART Matching Rule.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p360fig10.09 Grouping starts in layer 2-3: long-range horizontal excitation, short-range inhibition of target pyramidal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p361fig10.10 Bipole property controls perceptual grouping: inputs [excitatory sum, inhibitory normalize].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p362fig10.11 Final grouping: folded feedback, strongest enhanced on-center, weaker suppressed off-surround, interlaminar functional columns.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p363fig10.12 V2 repeats V1 circuitry at larger spatial scale.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p364fig10.13 6-to-4 decision circuit common to [BU adaptive filter, intracortical grouping, top-down intercortical attention].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p364fig10.14 Explanation: grouping and attention share the same modulatory decision circuit.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p367fig10.15 Attention protects target from masking stimulus.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p367fig10.16 Flankers can enhance or suppress targets.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p368fig10.17 Attention has greater effect on low contrast targets.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p368fig10.18 Texture reduces response to a bar: [iso-orientation, perpendicular] suppression.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p369fig10.19 Unconscious learning of motion direction, without [extra-foveal attention, awareness] of stimuli.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p371fig11.01 FACADE theory explains how the 3D boundaries and surfaces are formed to see the world in depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p372fig11.02 3D surface filling-in of [lightness, color, depth] by a single process: FACADE.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p373fig11.03 Both [contrast-specific binocular fusion, contrast-invariant boundary perception] are needed to see the world in depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p374fig11.04 Three processing stages of [monocular simple, complex] cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p374fig11.05 Contrast constraint on binocular fusion: only contrasts which are derived from the same objects in space are binoculary matched.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p375fig11.06 Binocular fusion by obligate cells in V1-3B when =[left,right] contrasts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p375fig11.07 3D LAMINART: [mo, bi]nocular simple cells binocularly fuse like image contrasts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p376fig11.08 Correspondance problem: How does the brain inhibit false matches. contrast constraint not enough.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p376fig11.09 V2 disparity filter solves correspondence problem: false matches suppressed by line-of-sight inhibition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p376fig11.10 3D LAMINART with disparity filter: 3D boundary representations via bipole grouping cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p377fig11.11 DaVinci stereopsis: monocular information and depth percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p378fig11.12 3D LAMINART: V2 monocular+binocular line of sight inputs -> depth perception.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p379fig11.13 3D LAMINART, DaVinci stereopsis (occlusion): emergent from simple mechanisms working together.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p380fig11.14 3D LAMINART, DaVinci stereopsis (polarity): same explanation as occlusion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p381fig11.15 DaVinci stereopsis variant of (Gillam, Blackburn, Nakayama 1999): same mechanisms.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p382fig11.16 DaVinci stereopsis of [3 narrow, one thick] rectangles: same explanation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p383fig11.17 Venetian blind effect: [left, right] eye matching bars.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p384fig11.18 Venetian blind effect: Surface[, -to-boundary] surface contour signals.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p385fig11.19 Dichoptic masking: [left, right] images have sufficiently different contrasts.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p385fig11.20 Dichoptic masking, Panum's limiting case: simplified version of Venetian blind effect.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p386fig11.21 Craik-O'Brien-Cornsweet Effect: 2D surface at a very near depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p387fig11.22 Julesz stereogram: boundaries with[out, ] surface contour feedback.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p388fig11.23 Sparse stereogram, large regions of ambiguous white: correct surface in depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p388fig11.24 depth-ambiguous feature contours: boundary groups lift to correct surface in depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p389fig11.25 Boundaries: not just edge detectors, or a shaded ellipse would look [flat, uniformly gray].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p390fig11.26 Multiple-scale depth-selective groupings determine perceived depth.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p391fig11.27 Multiple-scale grouping and size-disparity correlation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p391fig11.28 Ocular dominance columns, LGN mappings into layer 4C of V1.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p392fig11.29 3D vision figure-ground separation: multiple-scale, depth-selective boundary webs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p392fig11.30 How multiple scales vote for multiple depths, scale-to-depth and depth-to-scale maps.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p393fig11.31 LIGHTSHAFT model: determining depth-from-texture percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p393fig11.32 Kulikowski stereograms: binocular matching of out-of-phase [Gaussians, rectangles].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p394fig11.33 Kaufman stereogram: simultaneous fusion and rivalry.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p395fig11.34 3D LAMINART vs 7 other rivalry models: stable vision and rivalry.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p396fig11.35 Three properties of bipole boundary grouping in V2: boundaries oscillate with rivalry-inducing stimuli.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p397fig11.36 temporal dynamics of [rivalrous, coherent] boundary switching.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p398fig11.37 Simulation of the no swap baseline condition (Logothetis, Leopold, Sheinberg 1996).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p399fig11.38 Simulation of the swap condition of (Logothetis, Leopold, Sheinberg 1996).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p399fig11.39 Simulation of the eye rivalry data of (Lee, Blake 1999).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p400fig11.40 How do ambiguous 2D shapes contextually define a 3D object form.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p401fig11.41 3D LAMINART: [angle, disparity-gradient] cells learn 3D representations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p401fig11.42 hypothetical cortical hypercolumn: how [angle, disparity-gradient] cells may self-organize during development.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p402fig11.43 A pair of disparate images of a scene from the University of Tsukuba.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p402fig11.44 3D LAMINART disparities [5, 6, 8, 10, 11, 14]: images of objects in common depth planes.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p403fig11.45 SAR processing by multiple scales: reconstruction of a SAR image.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p405fig12.01 [What ventral, Where-How dorsal] cortical streams for [audition, vision].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p406fig12.02 Three S's of movement: Synergy formation, muscle Synchrony, volitional Speed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p407fig12.03 Motor cortical cells: vectors for [direction, length] of commanded movement.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p409fig12.04 VITE simulations: difference vector emergent from network interactions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p410fig12.05 VITE: velocity profile invariance [short, long] movements for same GO signal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p410fig12.06 Monkeys transform movement: 2 -> 10 o'clock target, 50 or 100 msec after activation of 2 o'clock target.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p411fig12.07 VITE: higher peak velocity due to target switching.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p411fig12.08 GO signals gate agonist-antagonist [difference, present position] vector processing stages.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p412fig12.09 Vector Associative Map: difference vector mismatch learning calibrates [target, present] position vectors.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p413fig12.10 VITE: cortical area [4,5] combine [trajectory, inflow] signals from [spinal cord, cerebellum] for [variable loads, obstacles].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p414fig12.11 [data, simulation]s from cortical areas 4 and 5 during a reach.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p415fig12.12 [VITE, FLETE, cerebellar, opponent muscle] model for trajectory formation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p416fig12.13 DIRECT model: Endogenous Random Generator learns volitional reaches.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p416fig12.14 DIRECT reaches [unconstrained, with TOOL, elbow@140°, blind].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p417fig12.15 From Seeing & Reaching (DIRECT) to Hearing & Speaking (DIVA): homologous circular reactions, [tool use, coarticulation].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p418fig12.16 Anatomy of DIVA model processing stages.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p419fig12.17 Auditory continuity illusion: backwards in time through noise, ART Matching Rule.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p420fig12.18 ARTSTREAM: auditory continuity illusion, stream as a spectral-pitch resonance.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p422fig12.19 ARTSTREAM: derive streams from [pitch, source direction].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p423fig12.20 SPINET: log polar spatial sound frequency spectrum to distinct auditory streams.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p424fig12.21 Pitch shifts with component shifts, pitch vs lowest harmonic number.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p424fig12.22 Decomposition of a sound in terms of three of its harmonics.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p425fig12.23 ARTSTREAM: auditory continuity illusion- continuity does not occur without noise.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p426fig12.24 Spectrograms of -ba- and -pa- show the transient and sustained parts of their spectrograms.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p428fig12.25 ARTSPEECH: auditory-articulatory feedback loop & imitative map, [auditory, motor] dimensionally consistent, motor theory of speech.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p430fig12.26 NormNet: speaker normalization via specializations of mechanisms for auditory streams.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p431fig12.27 ARTSTREAM & NormNet strip maps: variants of occular dominance columns in visual cortex.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p432fig12.28 SpaN: spatial representations of numerical quantities in the parietal cortex.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p433fig12.29 What stream: place-value [number map, language category]s; to Where stream: numerical strip maps.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p436fig12.30 cARTWORD: laminar speech model- future disambiguates past, resonanct wave propagates through time.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p436fig12.31 Working memory: temporal order STM is often imperfect, then stored in LTM.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p437fig12.32 Free recall bowed serial position curve.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p437fig12.33 Working memory models: item and order, or competitive queuing.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p438fig12.34 LTM Invariance Principle: [STM, LTM] new words must not cause catastrophic forgetting of subwords.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p439fig12.35 Normalization Rule: total activity of working memory has upper bound independent of number of items.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p439fig12.36 [Item, Order] working memories: [content-addressable categories, temporal order, [excitatory, inhibitory] recurrence, rehearsal wave.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p440fig12.37 Normalization Rule: primacy bow as more items stored.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p441fig12.38 LTM Invariance Principle: new events do not change the relative activities of past event sequences.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p442fig12.39 [LTM invariance, Normalization Rule] Shunt normalization -> STM bow.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p442fig12.40 [LTM Invariance, normalization, STM steady attention]: only [primacy, bowed] gradients of activity can be stored.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p443fig12.41 Neurophysiology of sequential copying: [primacy gradient, self-inhibition].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p444fig12.42 LIST PARSE: Laminar cortical model of working memory and list chunking.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p445fig12.43 LIST PARSE laminar Cognitive Working Memory in VPC, is homologous to visual LAMINART circuit.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p446fig12.44 LIST PARSE: immediate free recall experiments transposition errors, list length.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p447fig12.45 LIST PARSE: order errors vs serial position with extended pauses.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p448fig12.46 Masking Field working memory is a multiple-scale self-similar recurrent shunting on-center off-surround network.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p449fig12.47 Masking Field self-similar [recurrent inhibitory, top-down excitatory] signals to the item chunk working memory.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p452fig12.48 Perceptual integration of acoustic cues: [silence vs noise] durations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p453fig12.49 ARTWORD: acoustic cues, phonetic [features, WM], Masking Field unitized lists, gain control.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p453fig12.50 ARTWORD perception cycle: sequences-> chunks-> compete-> top-down expectations-> item working memory->  develops item-list resonance.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p454fig12.51 Resonant transfer: as silence interval increases, a delayed additional item can facilitate perception of a longer list.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p455fig12.52 cARTWORD dynamics 1-2-3: resonant activity in item and feature layers corresponds to conscious speech percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p456fig12.53 cARTWORD dynamics 1-silence-3: Gap in resonant activity of 1-silence-3 in [item, feature] layers corresponds to perceived silence.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p456fig12.54 cARTWORD dynamics: 1-noise-3: Resonance of 1-2-3 in [item, feature] layers  restores item 2.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p457fig12.55 cARTWORD dynamics 1-noise-5: Figures 12.[54, 55] future context can disambiguate past noisy sequences that are otherwise identical.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p459fig12.56 Rank information on the position of an item in a list using numerical hypercolumns in the prefrontal cortex.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p460fig12.57 lisTELOS for saccades: prototype to [store, recall] other [cognitive, spatial, motor] information.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p461fig12.58 lisTELOS shows [BG nigro-[thalamic, collicular], FEF, ITa, PFC, PNR-THAL, PPC, SEF, SC, V1, V4-ITp, Visual Cortex input] and [GABA].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p462fig12.59 TELOS: balancing reactive vs. planned movements.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p463fig12.60 Rank-related activity in PFC and SEF from two different experiments.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p464fig12.61 SEF saccades microstimulating electrode: spatial gradient of habituation alters order, but not which, saccades are performed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p464fig12.62 The most habituated position is foveated last: because stimulation spreads in all directions, saccade trajectories tend to converge.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p465fig12.63 lisTELOS and data: microstimulation biases selection so saccade trajectories converge toward a single location in space.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p467fig12.64 Some of the auditory cortical regions that respond to sustained or transient sounds.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p468fig12.65 [PHONET, ARTPHONE] linguistic properties: creates rate-invariant representations for variable-rate speech, paradoxical VC-CV category boundaries.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p469fig12.66 PHONET: relative duration of [consonant, vowel] pairs can [preserve, change] a percept.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p469fig12.67 PHONET [transient, sustained] cells that respond to certain [consonant transient, sustained vowel] sounds.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p471fig12.68 Mismatch vs resonant fusion: effect of silence interval length.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p473fig12.69 ART Matching Rule properties explain error rate and mean reaction time (RT) data from lexical decision experiments.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p474fig12.70 macrocircuit model to explain lexical decision task data.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p476fig12.71 Word frequency data model.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p481fig13.01 Cognitive-Emotional-Motor (CogEM): macrocircuit of [function, anatomy].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p483fig13.02 CogEM: motivated attention [closes cognitive-emotional feedback loop, focuses on relevant cues, blocks irrelevant cues].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p483fig13.03 CogEM: supported by anatomical connections [[sensory, orbitofrontal] cortices, amygdala].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p484fig13.04 Cognitive-Emotional resonance:  top-down feedback from the orbitofrontal cortex closes a feedback loop.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p484fig13.05 Classical conditioning: perhaps simplest kind of associative learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p485fig13.06 Classical conditioning: inverted-U vs InterStimulus Interval (ISI).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p485fig13.07 Paradigm of secondary conditioning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p486fig13.08 Blocking paradigm: cues lacking different consequences may fail to be attended.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p486fig13.09 Equally salient cues can be conditioned in parallel to an emotional consequence.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p486fig13.10 Blocking: both [secondary, attenuation of] conditioning at zero ISI.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p487fig13.11 CogEM : three main properties to explain how attentional blocking occurs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p488fig13.12 Motivational feedback and blocking.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p489fig13.13 CogEM and conditioning: positive ISI; inverted-U vs ISI.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p490fig13.14 Cognitive-Emotional circuit: for proper conditioning, sensory needs >= 2 processing stages.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p490fig13.15 CogEM is an ancient design that is found even in mollusks like Aplysia.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p492fig13.16 Polyvalent CS sampling and US-activated nonspecific arousal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p493fig13.17 Learning nonspecific arousal and CR read-out.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p494fig13.18 Learning to control nonspecific arousal and read-out of the CR: two stages of CS.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p494fig13.19 CogEM: secondary conditioning of [arousal, response], multiple [drive, input]s, motivational sets.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p496fig13.20 A single avalanche sampling cell can learn an arbitrary space-time pattern.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p497fig13.21 nonspecific arousal: primitive crayfish swimmerets, songbird pattern generator avalanche.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p498fig13.22 Adaptive filtering and Conditioned arousal: Towards Cognition, Towards Emotion.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p499fig13.23 Self-organizing avalanches [instars filter, serial learning, outstars read-out], Serial list learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p500fig13.24 Primary [excitatory, inhibitory] conditioning using opponent processes and their antagonistic rebounds.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p501fig13.25 Unbiased transducer in finite rate physical process: mass action by a chemical transmitter is the result.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p501fig13.26 Transmitter y [accumulation, release]:  y restored < infinite rate, evolution has exploited this.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p502fig13.27 Transmitter minor mathematical miracle [accumulation, release]: S*y = S*A*B div (A + S) (gate, mass action).png
/home/bill/web/Neural nets/Grossberg/images- captioned/p502fig13.28 Habituative transmitter gate: fast [increment, decrement]s of input lead to [overshoot, habituation, undershoot]s, Weber Law.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p503fig13.29 ON response to phasic ON input has Weber Law properties due to the habituative transmitter.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p504fig13.30 OFF-rebound transient due to phasic input offset: arousal level sets ratio ON vs OFF rebounds, Weber Law.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p504fig13.31 Behavioral contrast rebounds: decrease [food-> negative Frustration, shock-> positive Relief] reinforcers.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p505fig13.32 Behavioral contrast: [response suppression, antagonist rebound] both calibrated by shock levels.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p505fig13.33 Novelty reset- rebound to arousal onset: equilibrate to [I, J]; keep phasic input J fixed; interpret this equation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p506fig13.34 Novelty reset: rebound to arousal onset, reset of dipole field by unexpected event.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p506fig13.35 Shock [cognitive, emotional] effects: [reinforcer, sensory cue, expectancy].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p509fig13.36 Life-long learning: selective without [passive forgetting, associative saturation].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p510fig13.37 A disconfirmed expectation inhibits prior incentive, but is insufficient to prevent associative saturation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p510fig13.38 Dissociation of LTM read-[out, in]: dendritic action potentials as teaching signals, early predictions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p510fig13.39 Learn net dipole output pattern: [shunting competition, informational noise suppression] in affective gated dipoles, back-propagation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p512fig13.40 Conditioned excitor extinguishes: [learning, forgetting] phases, shock expectation disconfirmed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p513fig13.41 Conditioned inhibitor does not extinguish: [learn, forget] phases, same [CS, teacher] can be used.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p513fig13.42 Conditioned excitor extinguishes when expectation of shock is disconfirmed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p513fig13.43 Conditioned excitor extinguishes: expectation that -no shock- follows CS2 is NOT disconfirmed.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p514fig13.44 Analog of the COgEM model maps of [object X, proto-self], assembly of second-order map.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p519fig14.01 Coronal sections of prefrontal cortex.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p520fig14.02 pART [cognitive-emotional, working memory] dynamics: main brain [regions, connections].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p523fig14.03 MOTIVATOR model generalizes CogEM by including the basal ganglia: supports motivated attention for [, un]conditioned stimuli.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p524fig14.04 Basal ganglia circuit for dopaminergic Now Print signals from the substantia nigra pars compacta in response to unexpected rewards.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p530fig14.05 Visual [pop-out, search]-> reaction time experiments.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p531fig14.06 ARTSCENE: classification of scenic properties as texture categories.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p531fig14.07 ARTSCENE voting achieves even better prediction of scene type.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p532fig14.08 ARTSCENE: using [sequence, location]s of already experienced objects to predict [what, where] the desired object is.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p533fig14.09 ARTSCENE search [data, simulation]s for 6 pairs of images.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p540fig15.01 [Delay, trace conditioning] paradigms:  require a CS memory trace over the ISI.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p541fig15.02 nSTART hippocampal Cognitive-Emotional resonance: feeling of what happens, knowing causative event.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p541fig15.03 Timed responses from adaptively timed conditioning: Weber laws, inverted U as a function of ISI.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p542fig15.04 blinks of [nictitating membrane, eyelid] are adaptively timed: closure occurs at arrival of the US following the CS, obeys Weber Law.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p543fig15.05 Learning with two ISIs: each peak obeys Weber Law, strong evidence for spectral learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p543fig15.06 Circuit between [dentate granule, CA1 hippocampal pyramid] cells seems to compute spectrally timed responses.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p544fig15.07 Spectral timing: STM sensory representation-> Spectral activation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p544fig15.08 Habituative transmitter gate: spectral activities-> sigmoid signals-> gated by habituative transmitters.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p544fig15.09 Habituative transmitter gate: increases with accumulation, decreases from gated inactivation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p545fig15.10 A timed spectrum of gated sampling intervals.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p545fig15.11  Associative learning, gated steepest descent learning: output from each population is a doubly gated signal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p546fig15.12 Computer simulation of spectral learning: fastest with large sampling signals when the US occurs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p546fig15.13  Adaptive timing is a population property, random spectrum of rates achieves good collective timing.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p547fig15.14 [Un, ]expected non-occurences of goal: a predictive failure leads to: Orienting Reactions, Emotional- Frustration,  Motor- Explorator.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p547fig15.15  Expected non-occurrence of goal: some rewards are reliable but delayed in time, do not lead to orienting reactions.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p548fig15.16 Homolog between ART and CogEM model: complementary systems.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p548fig15.17 The timing paradox: want [accurate timing, to inhibit exploratory behaviour throught ISI].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p549fig15.18 Weber Law: reconciling accurate and distributed timing, different ISIs-  standard deviation = peak time, Weber law rule.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p549fig15.19 Conditioning, Attention, and Timing circuit: Hippocampus spectrum-> Amgdala orienting system-> neocortex motivational attention.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p550fig15.20 Adaptively timed Long Term Depression between parallel fibres and Purkinje cells-> movement gains within learned time interval.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p551fig15.21 Cerebellum: important cells types and circuitry.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p551fig15.22 Responses of a turtle retinal cone to brief flashes of light of increasing intensity.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p552fig15.23 Cerebellar biochemistry: mGluR supports adaptively timed conditioning at cerebellar Purkinje cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p556fig15.24 Cerebellar cortex responses: [data, model] short latency responses after lesioning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p557fig15.25 Computer simulations of adaptively timed [LTD at Purkinje cells, activation of cereballar nuclear cells].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p557fig15.26 Brain [region, process]s that contribute to autistic behavioral symptoms.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p559fig15.27 Spectrally timed SNc learning: brain [region, process]s release of dopaminergic signals, unexpected reinforcing.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p559fig15.28 Neurophysiological data and simulations of SNc responses.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p560fig15.29 Excitatory pathways that support activation of the SNc by a US and the conditioning of a CS to the US.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p560fig15.30 Inhibitory pathway: striosomal cells predict [timing, magnitude] of reward signal to cancel it.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p561fig15.31 Expectation timing: timing spectrum, striosomal cells delayed transient signals, gate [learning, read-out].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p561fig15.32 Inhibitory pathway expectation magnitude: is a negative feedback control system for learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p563fig15.33 MOTIVATOR: thalamocortical loops through basal ganglia.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p563fig15.34 Distinct basal ganglia zones for each loop.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p564fig15.35 GO signal to recurrent shunting OC-OS networks: control of the [fore, hind] limbs.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p565fig15.36 (a) FOVEATE: control of saccadic eye movements within the peri-pontine reticular formation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p566fig15.37 FOVEATE: steps in generation of a saccade.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p567fig15.38 Gated Pacemaker of [diurnal, nocturnal] circadian rythms: whether phasic light turns the pacemaker on or off.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p568fig15.39 MOTIVATOR hypothalamic gated dipoles: inputs, [object, value, object-value] categories, reward expectation filter.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p569fig15.40 GO and STOP movement signals: control by [direct, indirect] basal ganglia circuits.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p573fig16.01 Hippocampal place cells: discovery from rat [experimental chamber, neurophysiological recordings].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p574fig16.02 Neurophysiological recordings of 18 different place cell receptive fields.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p575fig16.03 Rat navigation: firing patterns of [hippocampal place, entrorhinal grid] cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p578fig16.04 Cross-sections of the hippocampal regions and the inputs to them.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p580fig16.05 GridPlaceMap hierarchy of SOMs with identical equations: learns 2D [grid, place] cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p581fig16.06 Trigonometry of spatial navigation: coactivation of stripe cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p582fig16.07 Stripe cells multiple [orientation, phase, scale]s: directionally-sensitive ring attractors, velocity, distance.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p582fig16.08 Evidence for stripe-like cells: entorhinal cortex data, Band Cells position from grid cell oscillatory interference.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p583fig16.09 GRIDSmap: stripe cells for rat trajectories, self-organizing map learned hexagonal grid cell receptive fields.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p583fig16.10 GRIDSmap embedded into hierarchy of SOMs: [angular head velocity, linear velocity] signals to place cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p584fig16.11 GRIDSmap learning of hexagonal grid fields, multiple phases per scale.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p584fig16.12 Temporal development of grid fields: orientations rotate to align with each other.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p585fig16.13 Hexagonal grid cell receptive fields: somewhat insensitive to [number, directional selectivities] of stripe cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p585fig16.14 GRIDSmap: Superimposed firing of stripe cells supports learning hexagonal grid.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p586fig16.15 Why is a hexagonal grid favored: stripe cells at intervals of 45 degrees, GRIDSmap does not learn, oscillatory interference does.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p586fig16.16 Grid-to-place SOM: formation of place cell fields via grid-to-place cell learning.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p587fig16.17 A refined analysis: SOM amplifies most frequent and energetic coactivations, stripe fields separated by [90°, 60°].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p588fig16.18 GridPlaceMap hierarchy of SOMs: coordinated learning of [grid, place, inomodal] cell receptive fields.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p589fig16.19 How does the spatial scale increase along the MEC dorsoventral axis.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p590fig16.20 Dorsoventral gradient in the rate of synaptic integration of MEC layer II stellate cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p590fig16.21 Frequency of membrane potential oscillations in grid cells decreases along the dorsoventral gradient of the MEC.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p591fig16.22 Dorsoventral [time constant, duration] gradients in AHP kinetics of MEC layer II stellate cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p591fig16.23 Spectral spacing model: map cells respond to stripe cell inputs of multiple scales, How do entorhinal cells solve the scale selection problem.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p592fig16.24 Parameter settings in the Spectral Spacing Model that were used in simulations.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p593fig16.25 Spectral Spacing Model equations for [STM, MTM, LTM].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p593fig16.26 Gradient of grid spacing along dorsoventral axis of MEC.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p594fig16.27 Gradient of field width along dorsoventral axis of MEC.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p595fig16.28 Peak and mean rates at different locations along DV axis of MEC.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p596fig16.29 Subthreshold membrane mV oscillations: decreasing Hz at different locations along DV axis of MEC.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p596fig16.30 Spatial phases of learned grid and place cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p597fig16.31 Multimodal place cell firing in large spaces.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p597fig16.32 Model fits data about grid cell development in juvenile rats:  grid [score increases, spacing flat].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p598fig16.33 Model fits [place, grid, directional] cell data about grid cell development in juvenile rats:  [spatial information, inter-trial stability] vs postnatal day.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p598fig16.34 spiking GridPlaceMap: generates theta-modulated place and grid cell firing, unlike the rate-based model.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p599fig16.35 anatomically overlapping grid cell modules: effects of [different modules in one animal, DV location, response rate].png
/home/bill/web/Neural nets/Grossberg/images- captioned/p600fig16.36 entorhinal-hipppocampal system: ART spatial category learning system, place cells as spatial categories.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p602fig16.37 Hippocampal inactivation by muscimol disrupts grid cells.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p603fig16.38 Role of hippocampal feedback in maintaining grid fields, muscimol inhibition.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p605fig16.39 Disruptive effects of MS inactivation in MEC.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p607fig16.40 Effects of medial septum (MS) inactivation on grid cells: data, simulations, gridness.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p611fig16.41 back-propagating action potentials, recurrent inhibitory interneurons: control learning, regulate rythm- read-out is dissociated from read-in.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p612fig16.42 Macrocircuit of the main SOVEREIGN subsystems: visual, motor.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p613fig16.43 SOVEREIGN [visual form, motion processing] stream mechanisms.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p613fig16.44 SOVEREIGN[target position, difference] vectors, volitional GO computations] to control decision-making and action.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p614fig16.45 [distance, angle] computations learn dimensionally-consistent [visual, motor] information for [decision, action]s.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p615fig16.46 SOVEREIGN uses homologous processing stages to model the [What, Where] cortical streams, motivational mechanisms.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p615fig16.47 SOVEREIGN: multiple parallel READ circuits, sensory-drive heterarchy amplifies motivationally favored option.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p616fig16.48 SOVEREIGN tests using virtual reality 3D rendering of a cross maze.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p616fig16.49 SOVEREIGN  animat converted inefficient exploration into an efficient direct learned path to the goal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p617fig16.50 Spectral Spacing models of [perirhinal what, parahippocampal where] inputs, fused in the hippocampus.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p627tbl17.01 Homologs between [reaction-diffusion, recurrent shunting cellular network] models of development.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p628fig17.01 A hydra.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p628fig17.02 how different [cut, graft]s of the normal Hydra may [, not] lead to the growth of a new head.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p629fig17.03 How an initial morphogenetic gradient may be contrast enhanced to exceed the threshold for head formation.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p630fig17.04 Morphogenesis: use cellular models vs [chemical, fluid] reaction-diffusion models.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p631fig17.05 How a blastula develops into a gastrula.png
/home/bill/web/Neural nets/Grossberg/images- captioned/p634fig17.06 How binary cells with a Gaussian distribution of output thresholds generates a sigmoidal population signal.png
/home/bill/web/Neural nets/Grossberg/images- captioned/pxvifig00.01 Macrocircuit of the visual system.png
/home/bill/web/Neural nets/Grossberg/reader Howell notes.HtmWeb.html
/home/bill/web/Neural nets/Grossberg/references- Grossberg.HtmWeb.html
/home/bill/web/Neural nets/Grossberg/references- non-Grossberg.HtmWeb.html
/home/bill/web/Neural nets/Grossberg/References/Sejnowski 21Aug2022 Large Language Models and the Reverse Turing Test.pdf
/home/bill/web/Neural nets/Grossberg/videoProdn/Grossbergs Consciousness: video script.HtmWeb.html
/home/bill/web/Neural nets/Grossberg/webWork/bash script: thematic, list of txt files to search.txt
/home/bill/web/Neural nets/Grossberg/webWork/pMenuTopMenu Grossberg.html
/home/bill/web/Neural nets/Grossberg/why is cART unknown.HtmWeb.html
/home/bill/web/Neural nets/Howell 110903 - Confabulation Theory, Plausible next sentence survey.pdf
/home/bill/web/Neural nets/Howell 131011 fMRI - Random, stray thoughts.pdf
/home/bill/web/Neural nets/Howell 131013 Robots, Signal Processing and Control Theory - Random, stray thoughts.pdf
/home/bill/web/Neural nets/Howell 2005 - Presentation, Junk DNA and Neural Networks conjecture on directions and implications.ppt
/home/bill/web/Neural nets/Howell 2006 - Genetic specification of neural networks, draft concepts and implications.pdf
/home/bill/web/Neural nets/Howell 2006 - Presentation, Genetic Specification of Recurrent Neural Networks Initial Thoughts.ppt
/home/bill/web/Neural nets/MindCode/
/home/bill/web/Neural nets/MindCode/12 MindCode components.odt
/home/bill/web/Neural nets/MindCode/13 Historical [DNA, Protein, Evolutionary Computing, ANN] hybrid basis for epiDNA-NNs.odt
/home/bill/web/Neural nets/MindCode/14 MindCode - arbitrary selections from Multiple Conflicting Hypothesis.odt
/home/bill/web/Neural nets/MindCode/15 Assumed rules of the game.odt
/home/bill/web/Neural nets/MindCode/16 Introduction - Conceptual pseudo-basis for MindCode.odt
/home/bill/web/Neural nets/MindCode/17 Questions, not answers.odt
/home/bill/web/Neural nets/MindCode/20 Static epiDNA-NN.odt
/home/bill/web/Neural nets/MindCode/22 Dynamic epiDNA-NN coding.odt
/home/bill/web/Neural nets/MindCode/50 [Neurological, biological] basis for epiDNA coding.odt
/home/bill/web/Neural nets/MindCode/80 Ontogeny.odt
/home/bill/web/Neural nets/MindCode/80 Specialized epiDNA-NNs for MindCode.odt
/home/bill/web/Neural nets/MindCode/90 Hybrids of [algorithms, conventional computing, ANNs, MindCode].odt
/home/bill/web/Neural nets/MindCode/Howell 050824 Junk DNA & NeuralNetworks, conjecture on directions and implications, IJCNN05 workshop panel presentation.ppt
/home/bill/web/Neural nets/MindCode/Howell 060215 Genetic specification of neural networks, draft concepts and implications.pdf
/home/bill/web/Neural nets/MindCode/Howell 060716 Genetic specification of recurrent neural networks, Initial thoughts, WCCI 2006 paper 1341.pdf
/home/bill/web/Neural nets/MindCode/Howell 060721 Genetic Specification of Recurrent Neural Networks Initial Thoughts, WCCI 2006 presentation.ppt
/home/bill/web/Neural nets/MindCode/Howell 150225 - MindCode Manifesto.odt
/home/bill/web/Neural nets/MindCode/images/wikipedia: [m,t]RNA [peptide, protein] synthesis.png
/home/bill/web/Neural nets/MindCode/MindCode.HtmWeb.html
/home/bill/web/Neural nets/MindCode/MindCode/MindCode.HtmWeb.html
/home/bill/web/Neural nets/MindCode/voice musings/
/home/bill/web/Neural nets/MindCode/voice musings/231106_2212 Glenn Borchardts concept of infinity, avoid myopic thinking.mp3
/home/bill/web/Neural nets/Transformer NNs/LLMs for Conceptual Predators/Expanding Earth hypothesis versus plate tectonics.HtmWeb.html
/home/bill/web/Neural nets/Transformer NNs/LLMs for Conceptual Predators/gravity is an Electro-Magnetic (EM) effect.HtmWeb.html
/home/bill/web/Neural nets/Transformer NNs/LLMs for Conceptual Predators/Solar micronova and catastrophism.HtmWeb.html
/home/bill/web/Neural nets/TrNNs_ART/webWork/pMenuTopCopyright.html#Grossberg
/home/bill/web/Neural nets/webWork/pMenuTopCopyright.html#consciousness
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/home/bill/web/Neural nets/webWork/pMenuTopMenu.html#consciousness
/home/bill/web/Neural nets/webWork/pMenuTopStatus.html#consciousness
/home/bill/web/Neural nets/z_history/Mind2020/
/home/bill/web/page blogs.HtmWeb.html
/home/bill/web/page Howell - blog.HtmWeb.html
/home/bill/web/page Howell - comments about Suspicious Observers videos, references.txt
/home/bill/web/Personal/121225 Howells recent changes - career and location.pdf
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft.html
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft.HtmWeb.html
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft.HtmWeb.html#My definition of 'serious IDtheft cases'
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft.HtmWeb.html#My [stupid, lazy, naive, ignorant]
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft.HtmWeb.html#Time periods of the attack and my recovery
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft serious details.HtmWeb.html
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft serious details.HtmWeb.html#[cellPhone, email, internet, banking]
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft serious details.HtmWeb.html#[en,de]cryption bash programming system
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft serious details.HtmWeb.html#Introduction
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft serious details.HtmWeb.html#Questions
/home/bill/web/Personal/241115 IDtheft/Howell IDtheft: time periods of the attack and my recovery.HtmWeb.html
/home/bill/web/Personal/241115 IDtheft/images/Howell IDtheft.HtmWeb.html#Serious details beyond my [yap, arm wav]ing above
/home/bill/web/Personal/241115 IDtheft/images/identitytheft.org Top three Identity Theft report types by year 2017-2021.png
/home/bill/web/Personal/241115 IDtheft/images/identitytheft.org Total Fraud and Identity Theft Cases 2000-2024.png
/home/bill/web/Personal/241115 IDtheft/images/Keanu Reeves, human battery.jpeg
/home/bill/web/Personal/241115 IDtheft/images/Lewis Carroll 1865- Alices Adventures in Wonderland, Mad Tea Party.png
/home/bill/web/Personal/241115 IDtheft/images/matrix-fields-and-towers-of-bodies2.jpg
/home/bill/web/Personal/241115 IDtheft/images/Paramount Pictures, Adam McKay 2015 The Big Short.png
/home/bill/web/Personal/241115 IDtheft/images/Robert William Buss 1875- Dickens Dream.jpg
/home/bill/web/Personal/241115 IDtheft/images/statista.com Canada Identity Theft rate 2012-2023.png
/home/bill/web/Personal/241115 IDtheft/letters/
/home/bill/web/Personal/241115 IDtheft/timeLog of IDtheft [incomplete, censored].txt
/home/bill/web/Personal/Challenging the dogmas.HtmWeb.html
/home/bill/web/Personal/Crazy ideas/A Riddle by, for, of, on, and with the Mind.pdf
/home/bill/web/Personal/Crazy ideas/Crazy ideas.HtmWeb.html
/home/bill/web/Personal/Crystal ball.HtmWeb.html
/home/bill/web/Personal/Howell 140930 - 2014 Summer vacation travel log.pdf
/home/bill/web/Personal/Howell - favourite sayings.HtmWeb.html
/home/bill/web/Personal/Lifes like this.HtmWeb.html
/home/bill/web/Personal/Personal/Almost true tall tales.HtmWeb.html
/home/bill/web/Personal/z_history/130726 Deer collison/Car collision with a deer.HtmWeb.html
/home/bill/web/Personal/z_history/181211 Van versus Semi collision.HtmWeb.html
/home/bill/web/ProjMajor/Climate - Kyoto Premise fraud/Howell 150331 Lies, Damned Lies, and Scientists - Summary & context.pdf
/home/bill/web/ProjMajor/Climate - Kyoto Premise fraud/Howell - Are we ready for global cooling 14Mar06 longer version.pdf
/home/bill/web/ProjMajor/Climate - Kyoto Premise fraud/Howell - End of Enlightenment 25Sep09.pdf
/home/bill/web/ProjMajor/Electric Universe/Anderson - Electric scarring/Anderson 120725 Electric scarring of the Earth's surface - annotated & scanned 120910.pdf
/home/bill/web/ProjMajor/Electric Universe/Anderson - Electric scarring/Anderson 120725 Electric scarring of the Earth's surface - annotated & scanned.pdf
/home/bill/web/ProjMajor/Electric Universe/Anderson - Electric scarring/Anderson - Waimakariri River NZ.JPG
/home/bill/web/ProjMajor/Electric Universe/Anderson - Electric scarring/Anderson - Yemen.JPG
/home/bill/web/ProjMajor/Electric Universe/Anderson - Electric scarring/Howell 120829 Dinosaur Park, AB, Canada eye alt 16-6 km.JPG
/home/bill/web/ProjMajor/Electric Universe/Anderson - Electric scarring/Howell 120829 Drumheller, AB, Canada eye alt 21 km.JPG
/home/bill/web/ProjMajor/Electric Universe/Anderson - Electric scarring/Howell 120903 Paul Andersons Electric scarring of the Earth.pdf
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/Aureon.ca plasma technology.HtmWeb.html
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/images/Aureon.ca elements created in hydrogen plasma reactor.png
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/images/aureon_logo.png
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/images/SAFIRE electric sun surface granules.png
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/images/SAFIRE reactor.png
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/images/SAFIRE spherical plasma Lanmuir isotherms and T.png
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/images/team: Aureon.ca, visitors.png
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/images/team: SAFIRE [core, consulting].png
/home/bill/web/ProjMajor/Electric Universe/Aureon-SAFIRE/SAFIRE electric sun.HtmWeb.html
/home/bill/web/ProjMajor/Electric Universe/Ginenthal 96mmdd Description of Great fire of Chicago.pdf
/home/bill/web/ProjMajor/Electric Universe/Hall- electric geology/Andrew Halls electric geology [thunderblog, video]s.html
/home/bill/web/ProjMajor/Electric Universe/Hall- electric geology/Andrew Halls electric geology [thunderblog, video]s.HtmWeb.html
/home/bill/web/ProjMajor/Electric Universe/Hall- electric geology/Andrew Halls electric geology [thunderblog, video]s.HtmWeb.html#Electricity in Ancient Egypt
/home/bill/web/ProjMajor/Electric Universe/Hall- electric geology/images/
/home/bill/web/ProjMajor/Electric Universe/Hall- electric geology/images/Hall 160521 arc blast, harmonics in Iran.png
/home/bill/web/ProjMajor/Electric Universe/Hall- electric geology/images/Hall 26Aug2023 Electricity in Ancient Egypt 00:08 title.png
/home/bill/web/ProjMajor/Electric Universe/Howell 05-08Jul11 NPA-EU conference notes.pdf
/home/bill/web/ProjMajor/Electric Universe/Howell 120724 Gerald Pollack's Exclusion Zone water, Rob Johnson's electric bio-processes.pdf
/home/bill/web/ProjMajor/Electric Universe/Howell 141212 Don Scotts Birkeland current magnetic structure, review and comments.pdf
/home/bill/web/ProjMajor/Electric Universe/Howell 150627 Electric Universe - Climate & Svensmark Milankovic, Dark matter - Veizer-Shaviv.pdf
/home/bill/web/ProjMajor/Electric Universe/images/Anthony Peratt.jpg
/home/bill/web/ProjMajor/Electric Universe/images/David Talbot.png
/home/bill/web/ProjMajor/Electric Universe/images/Susan Schirott.png
/home/bill/web/ProjMajor/Electric Universe/images/Wal Thornhill.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/240421 chemical element creation dogma [BigBang, cosmic ray, star [dying low-mass, merging neutron, exploding [white dwarf, massive]]: SeeThePattern YT.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Boscovich 1763 Fig1 single Law of forces, including atomic theory.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Gareth Samuel 03Jul2021 alpha particle emission.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Gareth Samuel 03Jul2021 decay process of U235.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Gareth Samuel 03Jul2021 formation of elements doesnt require stars.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Gareth Samuel 03Jul2021 nuclear decay processes.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Gareth Samuel 03Jul2021 origin of neutron drip line.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Gareth Samuel 03Jul2021 SAFIRE transmutations confirmed in laboratory.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Gareth Samuel 03Jul2021 SAM team periodic table of the elements.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Howell composite: SAM suggests elements are created in-situe on planet during intense electrical events.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 basic geometrical shapes making up the nucleus.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 carbon 14 decays to nitrogen 14: densest packing at work.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 Carl Johnson - Statistical analysis of isotope masses.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 Daltons periodic table.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 Ethereal Matters LLC animation of atom builder application.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 Mendeleev 1897 periodic table of the elements.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 Newlands Law of Octaves.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 potential implications of Structured Atom Model (SAM).png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 proposal for a Structured Atom Model, more postulations.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 recurring geometric shapes in the periodic table: carbon group.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 standard model versus Structured Atom Model.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 summary of the new atomic model (SAM).png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 the new neutron: not a fundamental particle.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal Structured Atom Model vs Quantum Mechanics.HtmWeb.html#Definitions: nuclear [material, process, deactivate]s
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal: The Proton-Electron Atom, paragraphL.txt
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/nkodama, LENR forum: 3 quarks in a proton.jpg
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Plantonic solids 25May2024 wikipedia.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/SAM: nature of atom cover atom, front cover, updated.jpg
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/structuredAtom.org 3D rotate elements.png
/home/bill/web/ProjMajor/Electric Universe/Kaal SAM nucleus/images/team: Edo Kaal & SAM.png
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt 0312dd Stonehenge.png
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt 2003 Petroglyphs and lab plasmas II.png
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt 2003 Petroglyphs and lab plasmas I.png
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt - Auroral phenomena and petroglyphs.HtmWeb.html
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt Dec03 - Characteristics for the Occurence of a High-Current, Z-Pinch Aurora as Recorded in Antiquity.pdf
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt etal 07mmdd Z-pinch aurora in antiquity Part II Directionality and source.pdf
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt etal 2007 petroglyph global distributions.png
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt etal 2007 petroglyph Zankar river site in sunlight.png
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt Fig27 Scorpion-like petroglyph, toroidal stack plasma experiment.jpg
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt Fig28 Scorpion-like petroglyph, toroidal stack plasma experiment.jpg
/home/bill/web/ProjMajor/Electric Universe/Peratt petroglyphs/Peratt petroglyphs  squatter human, stick-man-on-stone.jpg
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/home/bill/web/ProjMajor/Electric Universe/[time, length, theme] multifractals/EU geology.HtmWeb.html
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/home/bill/web/ProjMajor/History/Freeman: Canadas Stonehenge/images Freeman Stonehenge/Book covers: Ev Cochrane and Gordon Freeman.jpg
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/home/bill/web/ProjMajor/History/Freeman: Canadas Stonehenge/images Freeman Stonehenge/Sun Cairn Ring: Majorville medicine wheel aerial view.jpg
/home/bill/web/ProjMajor/History/Howell 120729 Fort St Louis in Quebec city - archaeological interpretation of food storage.pdf
/home/bill/web/ProjMajor/History/Howell 120729 Why was France's King Louis XIV called the Sun King.pdf
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#Hosea
#How a UFO Caused the Battle of Los Angeles (13:01)
#How can the Great Pricing Waves be correlated with 'dead' systems?
#How does one evolve a computational brain?
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
#Howell 2011: the need for machine consciousness
#Howell: questions about SAM
#Howell's blog analysis problems:
#Howells questions about 1993 conference proceedings
#How to Build a Working UFO | Alien Reproduction Vehicles (ARVs) (28:28)
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https://www.youtube.com/watch?v=laXhTcko-lg&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=14
https://www.youtube.com/watch?v=LQJs8BHtTXg&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=3
https://www.youtube.com/watch?v=n84o7Ggw2Fw&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=43
https://www.youtube.com/watch?v=_nGePkIW3Ac&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=41
https://www.youtube.com/watch?v=nkohSBEHhjo
https://www.youtube.com/watch?v=NQflFk5WAO0&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=26
https://www.youtube.com/watch?v=OhBVWX0IkIk&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=17
https://www.youtube.com/watch?v=ouGhtFOpaHM
https://www.youtube.com/watch?v=P8cP1ChW3io&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=9
https://www.youtube.com/watch?v=purPO8UE-9g&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=54
https://www.youtube.com/watch?v=q9Nuy7mFIsE&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=28
https://www.youtube.com/watch?v=r8p44wQMtNE&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=35
https://www.youtube.com/watch?v=RAV-3PhGU7k
https://www.youtube.com/watch?v=rih9-80p0Ec&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=32
https://www.youtube.com/watch?v=s3qY5ewHAeo
https://www.youtube.com/watch?v=sfRcl5rmydI&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=27
https://www.youtube.com/watch?v=-sGPCMIQZLw&t=0s
https://www.youtube.com/watch?v=sJKW9VNo2BU
https://www.youtube.com/watch?v=tgqAt6YN1jE&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=45
https://www.youtube.com/watch?v=TSZ9wPPcszo&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=7
https://www.youtube.com/watch?v=u2wYS300pf0
https://www.youtube.com/watch?v=uNk0a5je9G8
https://www.youtube.com/watch?v=vZBRMcUkqNA&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=50
https://www.youtube.com/watch?v=WMETBHvo-U4&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=11
https://www.youtube.com/watch?v=x2BQyZorSQc&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=30
https://www.youtube.com/watch?v=XLhMi6YEhsQ&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=38
https://www.youtube.com/watch?v=XObk07uabLI
https://www.youtube.com/watch?v=xOTDTs9lio0
https://www.youtube.com/watch?v=x-Veqz6JpQY&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=6
https://www.youtube.com/watch?v=XWqh9F4pjHg&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=44
https://www.youtube.com/watch?v=xxZLBncNRXs&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=46
https://www.youtube.com/watch?v=YaaGvq2mcR0&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=25
https://www.youtube.com/watch?v=YpZKwbdbsJ4&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=23
https://www.youtube.com/watch?v=yUFYnVXbLoY&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=20
https://www.youtube.com/watch?v=ZCYMAs4cqRU&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=21
https://www.youtube.com/watch?v=-ZRwlYtAMps&list=PLaEJLf99gDO7KwKQuq4mGRJJYrwHqRyIM&index=52
https://youtubecommentsdownloader.com/dashboard
https://youtu.be/JlyhCOJKOFU
https://zhangtemplar.github.io/pe/
https://zhangtemplar.github.io/tag/finance/
http://tallbloke.wordpress.com/2013/04/18/paul-vaughan-comparing-jupiter-earth-venus-alignment-cycles-with-variation-in-the-solar-rotation-period/
http://working.canada.com/toronto/
http://www.BillHowell.ca/
http://www.BillHowell.ca/20120 [before, after] running head-on into a semi-tractor trailor hauling propane.jpg
http://www.BillHowell.ca/Bill Howells videos/Birkeland rotation in galaxy - not dark matter/Dark matter video 1 - initial, simple.mpeg
http://www.BillHowell.ca/Bill Howells videos/Birkeland rotation in galaxy - not dark matter/stars & Birkeland-000000.jpg
http://www.BillHowell.ca/Cool stuff/Davidson - Space weather, am I at risk 23Feb2018.png
http://www.BillHowell.ca/Cool stuff/Davidson - Space weather health indices 23Feb2018.png
http://www.BillHowell.ca/Cool stuff/Gareth Samuel 04Jul202 Edwin Kaal periodic table of the elements.png
http://www.BillHowell.ca/Cool stuff/Howell - Pandemics and the sun.pdf
http://www.BillHowell.ca/Cool stuff/Hoyte & Schatten year - solar influence on climate & natural systems, graphs.pdf
http://www.BillHowell.ca/Cool stuff/suicide - Berk, Dodd, Henry 2006 Australian female suicides with geomanetic activity 1970-2000.png
http://www.BillHowell.ca/economics, markets/Cool stuff/house Hulbert, Philadelphia Fed: Seven decades of no capital gains.png
http://www.BillHowell.ca/economics, markets/Cool stuff/vote Prechter 1999 Landslide elections & Stock Prices, 200313.jpg
http://www.BillHowell.ca/economics, markets/Dalio world order/Dalio 2021 Changing World Order [currency, T-bond, gold, war], Howell review.html
http://www.BillHowell.ca/economics, markets/Fischer, David 1996 The Great Wave/0_Fischer - The Great pricing Waves 1200-1990 AD.HtmWeb.html
http://www.BillHowell.ca/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 Price of consumables in England 1201-1993 detrended.png
http://www.BillHowell.ca/economics, markets/Fischer, David 1996 The Great Wave/Fig 0.01 Price of consumables in England 1201-1993.png
http://www.BillHowell.ca/economics, markets/market data/detrend/220802/detrend StockMkt Indices 1871-2022 PuetzUWS2011.png
http://www.BillHowell.ca/economics, markets/market data/SLregress/200912 semi-log/1872-2020 SP500 index, ratio of opening price to semi-log detrended price.HtmWeb.html
http://www.BillHowell.ca/economics, markets/market data/SLregress/200912 semi-log/SP500 TradingView eyeballed trends for (1872-1926) and (1926-2020).png
http://www.BillHowell.ca/economics, markets/options/TSLA/
http://www.BillHowell.ca/economics, markets/options/TSLA/price TSLA [call,putt] strikeDate 210618.png
http://www.BillHowell.ca/economics, markets/options/TSLA/volum TSLA [call,putt] strikeDate 210618.png
http://www.BillHowell.ca/home.HtmWeb.html
http://www.BillHowell.ca/homePage highlights.html
http://www.BillHowell.ca/My sports & clubs/natural- Sacha Dobler/Dobler ~2016 The Sun and history, Howell notes.txt
http://www.BillHowell.ca/My sports & clubs/natural- Sacha Dobler/Dobler: Solar Behaviour, Howell review.txt
http://www.BillHowell.ca/Neural nets/
http://www.BillHowell.ca/Neural nets/Computational neuro-genetic modelling.html
http://www.BillHowell.ca/Neural nets/Holidays - neural networks and genomics.HtmWeb.html
http://www.billhowell.ca/Neural nets/Mind2023/Mind2023 webPage.html
http://www.BillHowell.ca/Neural nets/MindCode/
http://www.BillHowell.ca/Neural nets/Neural Networks.HtmWeb.html
http://www.BillHowell.ca/Neural nets/Schmidhuber/Schmidhuber 24Sep2021 Scientific Integrity, Howell questions.doc
http://www.BillHowell.ca/Neural nets/TrNNs_ART/
http://www.BillHowell.ca/page blogs.HtmWeb.html
http://www.BillHowell.ca/page Howell - blog.HtmWeb.html
http://www.BillHowell.ca/Personal/241115 IDtheft/Howell IDtheft.HtmWeb.html
http://www.BillHowell.ca/Personal/241115 IDtheft/Howell IDtheft serious details.HtmWeb.html
http://www.BillHowell.ca/Personal/24115 IDtheft/Howell IDtheft.HtmWeb.html
http://www.BillHowell.ca/Personal/Challenging the dogmas.HtmWeb.html
http://www.BillHowell.ca/Personal/Crazy ideas/Crazy ideas.HtmWeb.html
http://www.BillHowell.ca/Personal/Crystal ball.HtmWeb.html
http://www.BillHowell.ca/Personal/Howell - favourite sayings.HtmWeb.html
http://www.BillHowell.ca/Personal/Lifes like this.HtmWeb.html
http://www.BillHowell.ca/Personal/Personal/Almost true tall tales.HtmWeb.html
http://www.BillHowell.ca/Personal/z_history/130726 Deer collison/Car collision with a deer.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/
http://www.BillHowell.ca/ProjMajor/Climate - Kyoto Premise fraud/Howell 150331 Lies, Damned Lies, and Scientists - Summary & context.pdf
http://www.BillHowell.ca/ProjMajor/Climate - Kyoto Premise fraud/_Kyoto Premise - the scientists arent wearing any clothes.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Electric Universe/Aureon-SAFIRE/Aureon.ca team, visitors.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Aureon-SAFIRE/SAFIRE [core, consulting] team.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Aparna, careerpower.in 10Aug2023 Keplers Laws of Planetary Motion: First, Second and Third Law.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Bannink, Buhrman 19Nov2018 Quantum Pascals Triangle and Sierpinskis carpet: Pascals triangle plotted modulo powers of 3.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Boscovich 1763 Fig1 single Law of forces, including atomic theory.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/etsy.com second generation Sierpinski tetrahedron VI, beaded art.jpeg
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Evlyukhin 30Jul2018 Great Pyramid of Giza can focus electromagnetic energy through its hidden chambers.jpg
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 basic geometrical shapes making up the nucleus.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Kaal EU2017 carbon: icosahedron, centerpiece of the elements.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Macdonald, Dailymail.com 30Jul2018 Great pyramid of Giza.jpg
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Shajesh etal 13Nov2017 Casimir energy of Sierpinski triangles.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/Swart, Smith, UtrechtU 19Nov2018 quantum physics in a fractional-dimensional system, Sierpinski triangle.jpg
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/images/www.bru.hlphys.jku.at Algebraic Surfaces  Platonic Solids, Kepler Model, Johannes Kepler.png
http://www.BillHowell.ca/ProjMajor/Electric Universe/Kaal SAM nucleus/Kaal Structured Atom Model vs Quantum Mechanics.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Electric Universe/Scott - Birkeland current/Scott: Birkeland current magnetic structure, Howell review and comments.pdf
http://www.BillHowell.ca/ProjMajor/History/Bell: Cracking the Nazi code, Howell notes.txt
http://www.BillHowell.ca/ProjMajor/History/McIntyre 2018 The spy and the traitor, Howell notes.txt
http://www.BillHowell.ca/ProjMajor/History/Temple - Egyptian Dawn/Temple, Davidovits: geopolymeric casting of pyramids.odt
http://www.BillHowell.ca/ProjMajor/Icebreaker/
http://www.BillHowell.ca/ProjMajor/Icebreaker/images/Neil Howell - Hilter refuses to invade Great Britain, Operation Eagle denied.jpg
http://www.BillHowell.ca/ProjMajor/Lies, Damned Lies, and Scientists/Lies, damned lies, and scientists.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Lucas/
http://www.BillHowell.ca/ProjMajor/Pandemics, health, and the Sun/corona virus/Tamny 2021 When politicians panicked (corona virus), Howell review.pHoWeb.html
http://www.BillHowell.ca/ProjMajor/Stalin supported Hitler/
http://www.BillHowell.ca/ProjMajor/Stalin supported Hitler/animations - Howell/Opening_Context/01.1 A_year_of_stunning_victories/01-1 A_year_of_stunning_victories.ogg
http://www.BillHowell.ca/ProjMajor/Stalin supported Hitler/animations - Howell/Opening_Context/01.5 A_year_of_stunning_victories/01.5 A_year_of_stunning_victories.ogg
http://www.BillHowell.ca/ProjMajor/Stalin supported Hitler/Howell 131202 - Adolph Hitler,  Unknowing puppet on a string of Joseph Stalin, video script.pdf
http://www.BillHowell.ca/ProjMajor/Sun Charvatova/_Charvatova - solar inertial motion _Charvatova - solar inertial motion & activity.html activity.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Sun civilisations/_Civilisations and the sun.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Sun civilisations/Howell - Mega-Life, Mega-Death and the Sun, the rise and fall of civilisations.pdf
http://www.BillHowell.ca/ProjMajor/Sun civilisations/Howell - radioisotopes and history 200 by 200 pixels.jpg
http://www.BillHowell.ca/ProjMajor/Sun civilisations/Howell - radioisotopes and history.jpg
http://www.BillHowell.ca/ProjMajor/Sun climate/_Climate and sun.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Sun model, forecast/_Solar modeling _Solar modeling & forecasting.html forecasting.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/200316 Forbes, Eric Mack - See How Coronavirus Compares To Other Pandemics Through History.jpg
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Corona virus models
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Cosmic/Galactic rays at historical high in summer 2019
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#COVID-19 data and models
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Daily cases charts for countries, by region
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Howells blog posts to MarketWatch etc
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Is the cure worse than the disease?
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Jumping off the cliff and into conclusions
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#New corona virus cases/day/population for selected countries
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Questions, Successes, Failures
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/corona virus/Howell - corona virus.HtmWeb.html#Spreadsheet for generating the charts
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/Howell - Selected pandemics & epidemics.pdf
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/influenza/Howell - influenza virus.HtmWeb.html
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/influenza/Howell - influenza virus.HtmWeb.html#Astronomical correlates of pandemics
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/influenza/Howell - influenza virus.HtmWeb.html#Howell -  USA influenza [cases, deaths] alongside [sunspots, Kp index, zero Kp bins]
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/influenza/Howell - influenza virus.HtmWeb.html#Influenza pandemics - Tapping, Mathias, and Surkan (TMS) theory
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/influenza/Howell - influenza virus.HtmWeb.html#Is the effectiveness of vaccines over-rated?
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/influenza/Howell - influenza virus.HtmWeb.html#Quite apart from the issue of the benefits of vaccines
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/influenza/Howell - influenza virus.HtmWeb.html#Rebuttals of the [solar, disease] correlation
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/Jerry Tennant 16Jun2020 Healing of [bone, muscle, skin].png
http://www.BillHowell.ca/ProjMajor/Sun pandemics, health/_Pandemics, health, and the sun.HtmWeb.html
http://www.BillHowell.ca/ProjMini/
http://www.BillHowell.ca/ProjMini/Galactic rays and evolution/_Galactic rays and evolution - life, the mind, civilisation, economics, financial markets.HtmWeb.html
http://www.BillHowell.ca/ProjMini/Kaal- Structured Atom Model/images/team: Edo Kaal & SAM.png
http://www.BillHowell.ca/ProjMini/Kaal- Structured Atom Model/Kaal Structured Atom Model vs Quantum Mechanics.HtmWeb.html
http://www.BillHowell.ca/ProjMini/Kaal- Structured Atom Model/Kaal: The Proton-Electron Atom, paragraphL.txt
http://www.BillHowell.ca/ProjMini/Mythology/Arc of the covenant on Karnac temple.jpg
http://www.BillHowell.ca/ProjMini/Mythology/Cardona - gods are planets, planets are gods (plus Sun).HtmWeb.html
http://www.BillHowell.ca/ProjMini/Mythology/Freeman 2009 Canadas Stonehenge, Siksika territory, Howell review.pHoWeb.html
http://www.BillHowell.ca/ProjMini/Mythology/Howell 120513 Ark of the Covenant.pdf
http://www.BillHowell.ca/ProjMini/Mythology/Wilson 1977 Cosmic trigger, Howells review.pHoWeb.html
http://www.BillHowell.ca/ProjMini/Mythology/Wilson 1990 Quantum consciousness, Howells review.pHoWeb.html
http://www.BillHowell.ca/ProjMini/PuetzUWS/
http://www.BillHowell.ca/ProjMini/PuetzUWS/200214 Puetz UWS plus detrended S&P500.png
http://www.BillHowell.ca/ProjMini/PuetzUWS/Howell - PuetzUWS [time, price] multifractal of detrended SPX 1871-2020.html
http://www.BillHowell.ca/ProjMini/PuetzUWS/Howell - Quick introduction to Puetz Universal Wave Series (UWS) fractal time.HtmWeb.html
http://www.BillHowell.ca/ProjMini//Randell Mills/Holverstott 2016 Randell Mills hydrino energy, Howell review.pdf
http://www.BillHowell.ca/ProjMini/Social media/
http://www.BillHowell.ca/Qnial/MY_NDFS/economics, markets/options data [download, process].ndf
http://www.BillHowell.ca/References/Climate/Charbonneau 2002 - The rise and fall of the first sunspot model.pdf
http://www.BillHowell.ca/References/Climate/Veizer etc cosmic review issi_helio.pdf
http://www.BillHowell.ca/webWork/pMenuTopCopyright.html#home
http://www.BillHowell.ca/webWork/pMenuTopCopyright.html#personal
http://www.BillHowell.ca/webWork/pMenuTopCopyright.html#projectsss
http://www.BillHowell.ca/webWork/pMenuTopCopyright.html#projMaj
http://www.BillHowell.ca/webWork/pMenuTopHelp.html#home
http://www.BillHowell.ca/webWork/pMenuTopHelp.html#personal
http://www.BillHowell.ca/webWork/pMenuTopHelp.html#projectsss
http://www.BillHowell.ca/webWork/pMenuTopHelp.html#projMaj
http://www.BillHowell.ca/webWork/pMenuTopMenu.html#home
http://www.BillHowell.ca/webWork/pMenuTopMenu.html#personal
http://www.BillHowell.ca/webWork/pMenuTopMenu.html#projects
http://www.BillHowell.ca/webWork/pMenuTopMenu.html#projMaj
http://www.BillHowell.ca/webWork/pMenuTopStatus.html#home
http://www.BillHowell.ca/webWork/pMenuTopStatus.html#personal
http://www.BillHowell.ca/webWork/pMenuTopStatus.html#projectsss
http://www.BillHowell.ca/webWork/pMenuTopStatus.html#projMaj
http://www.bscs-us.org/
http://www.canada.com/
http://www.canada.com/cgi-bin/go.asp?g=nationalpost&n=adv_front_tile&u=http://www.canada.com/national/nationalpost/subscribe/index.html
http://www.canada.com/members/services/newsletters.html
http://www.canada.com/national/nationalpost/news/artslife/postmovies/
http://www.canada.com/national/nationalpost/news/bodyandhealth/index.html
http://www.canwestglobal.com/privacy.html
http://www.dailymail.co.uk/sciencetech/article-6008131/Great-Pyramid-Giza-focus-electromagnetic-energy-hidden-chambers.html
http://www.doiserbia.nb.rs/img/doi/0354-9836/2014 OnLine-First/0354-98361400036R.pdf
http://www.frankfunds.com
http://www.gnuplot.info/
http://www.holoscience.com/
http://www.idsia.ch/~juergen/DeepLearning2July2014.pdf
http://www.ijcnn2007.org
http://www.inns.org/
http://www.legacy.com/can-nationalpost/
http://www.mdpi.com/
http://www.ptep-online.com/2015/PP-41-13.PDF
http://www.ptep-online.com/2018/PP-53-01.PDF
http://www.sciencedirect.com/science/article/pii/S0378375815001901
http://www.Socionomics.org
http://www.solarstation.ru/TL/PDF/tl_22.pdf
http://www.suspicious0bservers.org
http://www.suspicious0bservers.org/
http://www.suspicious0bservers.org/april-5-2016/
http://www.suspicious0bservers.org/dl/february-23-2018/
http://www.swpc.noaa.gov/products/solar-cycle-progression
http://www.uct-news.com
http://www.uct-news.com/
http://www.videolan.org/vlc/
http://www.yardeni.com/public/sp52_c.pdf
http://youtu.be/X9C4Tx2zC3c
#Human pre-history and history
#Iceball Earth?
#IDtheft context: [GDP, population history]
#IF: control branching to an [operation, address]
images- Grossberg 2021/p057fig02.03 neuron basic [anatomy, physiology].png
images- Grossberg 2021/p068fig02.14 Hodgkin and Huxley: spike potentials in squid giant axon.png
images- Grossberg 2021/p075fig02.24 Membrane equations of physiology: shunting equation, not additive.png
images- Grossberg 2021/p092fig03.05 A cross-section of the retinal layers: light stimuli need to go through all retinal layers.png
images- Grossberg 2021/p107fig03.26 drawing directly in color leads to colored surface representations.png
images- Grossberg 2021/p121fig03.45 Rouen Cathedral full sunlight (Monet 1892-1894): non-uniform lighting, more detail and depth.png
#IMPORTANT issues with digitization of curves
index.html#582
#Indrid Cold, the Truth about Planet Lanulos and the Mystery of the Smiling Man (41:13)
#informational noise suppression
#Initial observations
#Initial questions
#Initial setup
#Inspirations
#Instructions
#Interest rates, currency [DXY,CNYUSD]
#International market indexes [SP500, NASDAQ, SHCOMP, 10y T-bill]
#[intra, extra]-cellular processes, [neuron, astrocyte]s
#[intra, inter]-cellular process
#Introduction
#Introduction, Questions
#Introduction: what does quantum physics add to our understanding to consciousness?
#Is LaMDA Sentient? — an Interview
#Is there any biological plausibility?
#Ivanka Charvatova's 'Solar Inertial Motion' (SIM)
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#Jerry Tennant 16Jun2020 - Voltage and Regeneration, Electricity of Life
#Jewish Torah
#Joel
#John Taylor 2006 The Mind: A users manual
#Jonah
#Kenny Veach Vanishes on his Quest for the M Cave | Mojave Mysteries Vol. 1 (40:37)
#Key files
#Key [results, comments]
#Killer Patents & Secret Science Vol. 1 | Free Energy & Anti-Gravity Cover-Ups (54:04)
#Lamarckian versus Mendellian heredity, spiking MindCode as special case
#laminar computing
#LAMINART vison, speech, cognition
#learning and development
link
#Links to my related work
#LIST PARSE [linguistic, spatial, motor] working memory
#[lists, outline, concept]s to keep in mind from 2020
#Llinas 1998 Recurrent thalamo-cortical resonance
#logic vs connectionist
#Low awareness of experts about what hackers can do : 
mailto:Budapest Semester in Cognitive Sciences <bscs@bscs-us.org>?subject=IJCNN2019%20Budapest,%20Hungary%20-%20BSCS inquiry&amp;body=
mailto:info@genisama.com?subject=IJCNN2019%20Budapest,%20Hungary%20-%20Genisama inquiry&amp;body=
mailto:jjain@cisco.com
mailto:L&oacute;r&aacute;nt Farkas. Technical Manager. Bell Labs Research. Budapest. Hungary <lorant.farkas@nokia-bell-labs.com>?subject=IJCNN2019%20Budapest,%20Hungary%20-%20NOKIA Bell Labs inquiry&amp;body=
mailto:MDPI Publications <information@mdpi.com>?subject=IJCNN2019%20Budapest,%20Hungary%20-%20MDPI inquiry&amp;body=
#Malachi
#Martian Mysteries | The Phobos Incident, Monoliths, and Ancient Ruins (35:09)
#Mechanisms for processing [DNA, RNA] 'program code'
#meta-level themes
#Methodolgy
#Micah
#microtubules: platforms for [transport, info processing]?
#Min 2010 Thalamic reticular networking
#MindCode applications to keep in mind
#MindCode: Genetics and NNs
#MindCode [identify, library, model, predict, change, heal]
#MindCode [learn, evolve]: Grossberg's 'Conscious Mind, Resonant Brain'
#Missing concepts - among hundreds
missing link
#missing sub-sections for genetic machinery
#Model results
#Modern [philosophical, logical] models of consciousness
#modules & modal architectures ([micro, macro]-circuits)
#[motherhood, day car, kindergarten] constraints of modern intellectualism
#mRNA program code causes neurons to fire?
#Multiple Conflicting Futures for Ocean Ru
#'Multiple Conflicting Hypothesis' for consciousness: 
#Multiple drafts
#My Broken rules hypocrisy
#My bums: online tools for organized crime networks
#my 'Dark Optimism' theme : How do people actually [think, believe, behave]?
#My definition of 'Serious IDtheft cases'
#My heros
#My mud&amp;molasses
#My own defensive measures
#My: Paranoia versus Naive versus Unimaginable reality
#Mysteries Beneath the Ice: The Secrets of Antarctica (43:42)
#Mystery in Cisco Grove: Don Shrum’s Encounter with UFOs, Aliens and Robots (29:12)
#My [stupid, lazy, naive, ignorant]
#My : [stupid, lazy, naive, ignorant]; broken rules hypocrisy; Paranoia versus Naive
#Mythical Egypt (Thomas Brophy, John Anthony West)
#[myth, religion, philosophy, science]: [time, length, theme] multifractals [gnuplot, dataSets]
#Nabla Playa origin Map, Nubian desert, Orion constellation 11 kyBP (Thomas Brophy)
#Nahum
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#Needles in the haystack, diversity: Multiple Conflicting Hypothesis (MCH)
#Neural correlates of consciousness
#neurotransmitter
#Nomenclature, acronyms
#non-[Grossberg, TrNN] topics
#Non-health effects of the [sun, astronomy]
#note_1
#note_10
#note_100
#note_1000
#note_1001
#note100.1
#note_1002
#note100.2
#note_1003
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#note101.1
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#note_1018
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#note_102
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#note_1021
#note102.1
#note_1022
#note_1023
#note_1024
#note_1025
#note_1026
#note_1027
#note_1028
#note_1029
#note_103
#note_1030
#note_1031
#note103.1
#note_1032
#note_1033
#note_1034
#note_1035
#note_1036
#note_1037
#note_1038
#note_1039
#note_104
#note_1040
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#note104.1
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#note_109
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#note109.1
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#note109.2
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#note109.4
#note_1095
#note109.5
#note_1096
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#note_11
#note1.1
#note_110
#note1.10
#note_1100
#note_1101
#note110.1
#note110.10
#note110.11
#note110.12
#note110.13
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#note110.19
#note_1102
#note110.2
#note_1103
#note110.3
#note_1104
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#note110.5
#note_1106
#note110.6
#note_1107
#note110.7
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#note110.9
#note_111
#note1.11
#note_1110
#note_1111
#note_1112
#note_1113
#note_1114
#note_1115
#note_1116
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#note_112
#note1.12
#note_1120
#note_1121
#note112.1
#note_1122
#note112.2
#note_1123
#note112.3
#note_1124
#note112.4
#note_1125
#note112.5
#note_1126
#note112.6
#note_1127
#note112.7
#note_1128
#note112.8
#note_1129
#note_113
#note1.13
#note_1130
#note_1131
#note113.1
#note_1132
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#note114.1
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#note1.16
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#note1.17
#note_1170
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#note117.1
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#note117.2
#note_1173
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#note_1177
#note117.7
#note_1178
#note_1179
#note_118
#note1.18
#note_1180
#note_1181
#note118.1
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#note_119
#note1.19
#note119.1
#note119.2
#note_12
#note1.2
#note_120
#note1.20
#note_121
#note1.21
#note12.1
#note_122
#note1.22
#note12.2
#note_123
#note1.23
#note12.3
#note123.1
#note123.2
#note_124
#note12.4
#note124.1
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#note124.5
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#note125.1
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#note1.3
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#note13.1
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#note15.5
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#note155.3
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#note15.9
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#note1.6
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#note1.7
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#note_171
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#note_264
#note26.4
#note_265
#note26.5
#note_266
#note_267
#note_268
#note_269
#note_27
#note_270
#note_271
#note27.1
#note_272
#note27.2
#note_273
#note27.3
#note_274
#note_275
#note_276
#note_277
#note_278
#note_279
#note_28
#note_280
#note_281
#note28.1
#note_282
#note28.2
#note_283
#note28.3
#note_284
#note28.4
#note_285
#note28.5
#note_286
#note28.6
#note_287
#note_288
#note_289
#note_29
#note_290
#note_291
#note29.1
#note_292
#note29.2
#note_293
#note29.3
#note_294
#note_295
#note_296
#note_297
#note_298
#note_299
#note29b
#note_3
#note_30
#note_300
#note_301
#note30.1
#note30.10
#note_302
#note30.2
#note_303
#note30.3
#note_304
#note30.4
#note_305
#note30.5
#note_306
#note30.6
#note_307
#note30.7
#note_308
#note30.8
#note_309
#note30.9
#note_31
#note3.1
#note_310
#note_311
#note31.1
#note_312
#note31.2
#note_313
#note31.3
#note_314
#note31.4
#note_315
#note31.5
#note_316
#note31.6
#note_317
#note31.7
#note_318
#note_319
#note_32
#note3.2
#note_320
#note_321
#note32.1
#note_322
#note32.2
#note_323
#note32.3
#note_324
#note32.4
#note_325
#note32.5
#note_326
#note32.6
#note_327
#note32.7
#note_328
#note_329
#note_33
#note3.3
#note_330
#note_331
#note_332
#note_333
#note_334
#note_335
#note_336
#note_337
#note_338
#note_339
#note_34
#note_340
#note_341
#note34.1
#note_342
#note34.2
#note_343
#note34.3
#note_344
#note34.4
#note_345
#note_346
#note_347
#note_348
#note_349
#note_35
#note_350
#note_351
#note35.1
#note_352
#note35.2
#note_353
#note35.3
#note_354
#note35.4
#note_355
#note35.5
#note_356
#note35.6
#note_357
#note_358
#note_359
#note_36
#note_360
#note_361
#note_362
#note_363
#note_364
#note_365
#note_366
#note_367
#note_368
#note_369
#note_37
#note_370
#note_371
#note37.1
#note_372
#note_373
#note_374
#note_375
#note_376
#note_377
#note_378
#note_379
#note_38
#note_380
#note_381
#note38.1
#note_382
#note38.2
#note_383
#note38.3
#note_384
#note38.4
#note_385
#note_386
#note_387
#note_388
#note_389
#note_39
#note_390
#note_391
#note39.1
#note_392
#note39.2
#note_393
#note39.3
#note_394
#note39.4
#note_395
#note_396
#note_397
#note_398
#note_399
#note_4
#note_40
#note_400
#note_401
#note40.1
#note40.10
#note_402
#note40.2
#note_403
#note40.3
#note_404
#note40.4
#note_405
#note40.5
#note_406
#note40.6
#note_407
#note40.7
#note_408
#note40.8
#note_409
#note40.9
#note_41
#note4.1
#note_410
#note_411
#note41.1
#note_412
#note41.2
#note_413
#note41.3
#note_414
#note41.4
#note_415
#note41.5
#note_416
#note41.6
#note_417
#note_418
#note_419
#note_42
#note4.2
#note_420
#note_421
#note42.1
#note42.10
#note42.11
#note42.12
#note42.13
#note_422
#note42.2
#note_423
#note42.3
#note_424
#note42.4
#note_425
#note42.5
#note_426
#note42.6
#note_427
#note42.7
#note_428
#note42.8
#note_429
#note42.9
#note_43
#note_430
#note_431
#note_432
#note_433
#note_434
#note_435
#note_436
#note_437
#note_438
#note_439
#note_44
#note_440
#note_441
#note44.1
#note_442
#note_443
#note_444
#note_445
#note_446
#note_447
#note_448
#note_449
#note_45
#note_450
#note_451
#note_452
#note_453
#note_454
#note_455
#note_456
#note_457
#note_458
#note_459
#note_46
#note_460
#note_461
#note_462
#note_463
#note_464
#note_465
#note_466
#note_467
#note_468
#note_469
#note_47
#note_470
#note_471
#note47.1
#note_472
#note_473
#note_474
#note_475
#note_476
#note_477
#note_478
#note_479
#note_48
#note_480
#note_481
#note_482
#note_483
#note_484
#note_485
#note_486
#note_487
#note_488
#note_489
#note_49
#note_490
#note_491
#note_492
#note_493
#note_494
#note_495
#note_496
#note_497
#note_498
#note_499
#note_5
#note_50
#note_500
#note_501
#note50.1
#note_502
#note50.2
#note_503
#note50.3
#note_504
#note_505
#note_506
#note_507
#note_508
#note_509
#note_51
#note5.1
#note_510
#note_511
#note_512
#note_513
#note_514
#note_515
#note_516
#note_517
#note_518
#note_519
#note_52
#note5.2
#note_520
#note_521
#note52.1
#note_522
#note52.2
#note_523
#note52.3
#note_524
#note_525
#note_526
#note_527
#note_528
#note_529
#note_53
#note5.3
#note_530
#note_531
#note_532
#note_533
#note_534
#note_535
#note_536
#note_537
#note_538
#note_539
#note_54
#note5.4
#note_540
#note_541
#note54.1
#note_542
#note54.2
#note_543
#note54.3
#note_544
#note54.4
#note_545
#note54.5
#note_546
#note_547
#note_548
#note_549
#note_55
#note5.5
#note_550
#note_551
#note55.1
#note_552
#note55.2
#note_553
#note_554
#note_555
#note_556
#note_557
#note_558
#note_559
#note_56
#note_560
#note_561
#note_562
#note_563
#note_564
#note_565
#note_566
#note_567
#note_568
#note_569
#note_57
#note_570
#note_571
#note57.1
#note_572
#note57.2
#note_573
#note57.3
#note_574
#note57.4
#note_575
#note57.5
#note_576
#note57.6
#note_577
#note57.7
#note_578
#note_579
#note_58
#note_580
#note_581
#note58.1
#note_582
#note58.2
#note_583
#note_584
#note_585
#note_586
#note_587
#note_588
#note_589
#note_59
#note_590
#note_591
#note_592
#note_593
#note_594
#note_595
#note_596
#note_597
#note_598
#note_599
#note_6
#note_60
#note_600
#note_601
#note_602
#note_603
#note_604
#note_605
#note_606
#note_607
#note_608
#note_609
#note_61
#note6.1
#note_610
#note_611
#note61.1
#note_612
#note61.2
#note_613
#note61.3
#note_614
#note_615
#note_616
#note_617
#note_618
#note_619
#note_62
#note_620
#note_621
#note62.1
#note_622
#note_623
#note_624
#note_625
#note_626
#note_627
#note_628
#note_629
#note_63
#note_630
#note_631
#note63.1
#note_632
#note63.2
#note_633
#note63.3
#note_634
#note63.4
#note_635
#note63.5
#note_636
#note63.6
#note_637
#note63.7
#note_638
#note_639
#note_64
#note_640
#note_641
#note64.1
#note64.10
#note64.11
#note64.12
#note64.13
#note64.14
#note64.15
#note64.16
#note64.17
#note64.18
#note64.19
#note_642
#note64.2
#note64.20
#note64.21
#note64.22
#note64.23
#note64.24
#note64.25
#note_643
#note64.3
#note_644
#note64.4
#note_645
#note64.5
#note_646
#note64.6
#note_647
#note64.7
#note_648
#note64.8
#note_649
#note64.9
#note_65
#note_650
#note_651
#note65.1
#note_652
#note_653
#note_654
#note_655
#note_656
#note_657
#note_658
#note_659
#note_66
#note_660
#note_661
#note_662
#note_663
#note_664
#note_665
#note_666
#note_667
#note_668
#note_669
#note_67
#note_670
#note_671
#note_672
#note_673
#note_674
#note_675
#note_676
#note_677
#note_678
#note_679
#note_68
#note_680
#note_681
#note68.1
#note_682
#note68.2
#note_683
#note68.3
#note_684
#note68.4
#note_685
#note_686
#note_687
#note_688
#note_689
#note_69
#note_690
#note_691
#note69.1
#note_692
#note69.2
#note_693
#note69.3
#note_694
#note69.4
#note_695
#note69.5
#note_696
#note69.6
#note_697
#note_698
#note_699
#note_7
#note_70
#note_700
#note_701
#note_702
#note_703
#note_704
#note_705
#note_706
#note_707
#note70.7
#note_708
#note70.8
#note_709
#note_71
#note7.1
#note_710
#note_711
#note71.1
#note_712
#note71.2
#note_713
#note71.3
#note_714
#note71.4
#note_715
#note71.5
#note_716
#note71.6
#note_717
#note71.7
#note_718
#note71.8
#note_719
#note71.9
#note_72
#note7.2
#note_720
#note_721
#note72.1
#note_722
#note72.2
#note_723
#note72.3
#note_724
#note72.4
#note_725
#note72.5
#note_726
#note_727
#note_728
#note_729
#note_73
#note_730
#note_731
#note_732
#note_733
#note_734
#note_735
#note_736
#note_737
#note_738
#note_739
#note_74
#note_740
#note_741
#note74.1
#note_742
#note_743
#note_744
#note_745
#note_746
#note_747
#note_748
#note_749
#note_75
#note_750
#note_751
#note75.1
#note_752
#note75.2
#note_753
#note75.3
#note_754
#note_755
#note_756
#note_757
#note_758
#note_759
#note_76
#note_760
#note_761
#note76.1
#note_762
#note_763
#note_764
#note_765
#note_766
#note_767
#note_768
#note_769
#note_77
#note_770
#note_771
#note77.1
#note_772
#note77.2
#note_773
#note77.3
#note_774
#note_775
#note_776
#note_777
#note_778
#note_779
#note_78
#note_780
#note_781
#note78.1
#note78.10
#note78.11
#note_782
#note78.2
#note_783
#note78.3
#note_784
#note78.4
#note_785
#note78.5
#note_786
#note78.6
#note_787
#note78.7
#note_788
#note78.8
#note_789
#note78.9
#note_79
#note_790
#note_791
#note_792
#note_793
#note_794
#note_795
#note_796
#note_797
#note_798
#note_799
#note_8
#note_80
#note_800
#note_801
#note80.1
#note_802
#note80.2
#note_803
#note_804
#note_805
#note_806
#note_807
#note_808
#note_809
#note_81
#note8.1
#note_810
#note_811
#note_812
#note_813
#note_814
#note_815
#note_816
#note_817
#note_818
#note_819
#note_82
#note8.2
#note_820
#note_821
#note82.1
#note_822
#note82.2
#note_823
#note_824
#note_825
#note_826
#note_827
#note_828
#note_829
#note_83
#note8.3
#note_830
#note_831
#note83.1
#note_832
#note83.2
#note_833
#note83.3
#note_834
#note_835
#note_836
#note_837
#note_838
#note_839
#note_84
#note_840
#note_841
#note84.1
#note_842
#note84.2
#note_843
#note84.3
#note_844
#note84.4
#note_845
#note_846
#note_847
#note_848
#note_849
#note_85
#note_850
#note_851
#note85.1
#note_852
#note85.2
#note_853
#note85.3
#note_854
#note_855
#note_856
#note_857
#note_858
#note_859
#note_86
#note_860
#note_861
#note86.1
#note_862
#note86.2
#note_863
#note_864
#note_865
#note_866
#note_867
#note_868
#note_869
#note_87
#note_870
#note_871
#note_872
#note_873
#note_874
#note_875
#note_876
#note_877
#note_878
#note_879
#note_88
#note_880
#note_881
#note88.1
#note_882
#note88.2
#note_883
#note88.3
#note_884
#note_885
#note_886
#note_887
#note_888
#note_889
#note_89
#note_890
#note_891
#note89.1
#note_892
#note89.2
#note_893
#note_894
#note_895
#note_896
#note_897
#note_898
#note_899
#note_9
#note_90
#note_900
#note_901
#note90.1
#note_902
#note90.2
#note_903
#note90.3
#note_904
#note_905
#note_906
#note_907
#note_908
#note_909
#note_91
#note9.1
#note_910
#note_911
#note91.1
#note_912
#note_913
#note_914
#note_915
#note_916
#note_917
#note_918
#note_919
#note_92
#note_920
#note_921
#note92.1
#note_922
#note92.2
#note_923
#note92.3
#note_924
#note_925
#note_926
#note_927
#note_928
#note_929
#note_93
#note_930
#note_931
#note93.1
#note_932
#note93.2
#note_933
#note93.3
#note_934
#note_935
#note_936
#note_937
#note_938
#note_939
#note_94
#note_940
#note_941
#note94.1
#note_942
#note94.2
#note_943
#note94.3
#note_944
#note_945
#note_946
#note_947
#note_948
#note_949
#note_95
#note_950
#note_951
#note95.1
#note_952
#note95.2
#note_953
#note95.3
#note_954
#note95.4
#note_955
#note95.5
#note_956
#note_957
#note_958
#note_959
#note_96
#note_960
#note_961
#note_962
#note_963
#note_964
#note_965
#note_966
#note_967
#note_968
#note_969
#note_97
#note_970
#note_971
#note_972
#note_973
#note_974
#note_975
#note_976
#note_977
#note_978
#note_979
#note_98
#note_980
#note_981
#note98.1
#note_982
#note98.2
#note_983
#note98.3
#note_984
#note98.4
#note_985
#note98.5
#note_986
#note98.6
#note_987
#note_988
#note_989
#note_99
#note_990
#note_991
#note99.1
#note99.10
#note99.11
#note_992
#note99.2
#note_993
#note99.3
#note_994
#note99.4
#note_995
#note99.5
#note_996
#note99.6
#note_997
#note99.7
#note_998
#note99.8
#note_999
#note99.9
#noteref_1
#noteref_10
#noteref_100
#noteref_1000
#noteref_1001
#noteref_1002
#noteref_1003
#noteref_1004
#noteref_1005
#noteref_1006
#noteref_1007
#noteref_1008
#noteref_1009
#noteref_101
#noteref_1010
#noteref_1011
#noteref_1012
#noteref_1013
#noteref_1014
#noteref_1015
#noteref_1016
#noteref_1017
#noteref_1018
#noteref_1019
#noteref_102
#noteref_1020
#noteref_1021
#noteref_1022
#noteref_1023
#noteref_1024
#noteref_1025
#noteref_1026
#noteref_1027
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#noteref_103
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#noteref_1079
#noteref_108
#noteref_1080
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#noteref_1089
#noteref_109
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#noteref_1098
#noteref_1099
#noteref_11
#noteref_110
#noteref_1100
#noteref_1101
#noteref_1102
#noteref_1103
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#noteref_1106
#noteref_1107
#noteref_1108
#noteref_1109
#noteref_111
#noteref_1110
#noteref_1111
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#noteref_1113
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#noteref_1119
#noteref_112
#noteref_1120
#noteref_1121
#noteref_1122
#noteref_1123
#noteref_1124
#noteref_1125
#noteref_1126
#noteref_1127
#noteref_1128
#noteref_1129
#noteref_113
#noteref_1130
#noteref_1131
#noteref_1132
#noteref_1133
#noteref_1134
#noteref_1135
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#noteref_1138
#noteref_1139
#noteref_114
#noteref_1140
#noteref_1141
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#noteref_1143
#noteref_1144
#noteref_1145
#noteref_1146
#noteref_1147
#noteref_1148
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#NOT: simple function of a single RNA input strand, one output RNA
#nref100.1
#nref100.2
#nref101.1
#nref101.2
#nref102.1
#nref103.1
#nref104.1
#nref105.1
#nref105.2
#nref105.3
#nref105.4
#nref106.1
#nref106.2
#nref108.1
#nref108.2
#nref108.3
#nref108.4
#nref108.5
#nref108.6
#nref108.7
#nref108.8
#nref109.1
#nref109.2
#nref109.3
#nref109.4
#nref109.5
#nref1.1
#nref1.10
#nref110.1
#nref110.10
#nref110.11
#nref110.12
#nref110.13
#nref110.14
#nref110.15
#nref110.16
#nref110.17
#nref110.18
#nref110.19
#nref110.2
#nref110.3
#nref110.4
#nref110.5
#nref110.6
#nref110.7
#nref110.8
#nref110.9
#nref1.11
#nref1.12
#nref112.1
#nref112.2
#nref112.3
#nref112.4
#nref112.5
#nref112.6
#nref112.7
#nref112.8
#nref1.13
#nref113.1
#nref113.2
#nref113.3
#nref113.4
#nref1.14
#nref114.1
#nref114.2
#nref114.3
#nref114.4
#nref114.5
#nref1.15
#nref115.1
#nref115.2
#nref115.3
#nref115.4
#nref115.5
#nref1.16
#nref1.17
#nref117.1
#nref117.2
#nref117.3
#nref117.4
#nref117.5
#nref117.6
#nref117.7
#nref1.18
#nref118.1
#nref1.19
#nref119.1
#nref119.2
#nref1.2
#nref1.20
#nref1.21
#nref12.1
#nref1.22
#nref12.2
#nref1.23
#nref12.3
#nref123.1
#nref123.2
#nref12.4
#nref124.1
#nref124.2
#nref124.3
#nref124.4
#nref124.5
#nref125.1
#nref125.10
#nref125.11
#nref125.12
#nref125.13
#nref125.14
#nref125.15
#nref125.16
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#[, n]START learning & memory consolidation
#Obadiah
#on-center off-surround
#Oncolytics - possible bull wedge formation?
#One cannot grasp reality in this [virtual, hidden, criminal] world
#Ontogeny: the growth of bioFirmWare
#Operation Highjump | Mission: Find and Destroy the Secret Nazi UFO Base In Antarctica (24:31)
#Other health effects of the [sun, astronomy]
#Our Alien Overlords | How We Secretly Serve The Tall Whites (43:51)
#Over-extended tools?
#Page_115
#Page_139
#Page_214
#Page_245
#Page_252
#Petroglyphs and sky plasmas (Talbot-Thornhill-Peratt, Irene Howell)
#pharma [CRSP,NTLA,BEAM,BLUE,EDIT,ONC]
#Philosophy and sentience
#Photograph paper graphs
#PineScript, SP500USD chart - multi-fractal on-chart comments
#pl01
#pl02
#pl03
#pl04
#pl05
#pl06
#pl07
#pl08
#pl09
#pl10
#pl11
#pl12
#pl13
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#pl51
#pl52
#pl53
#pl54
#pl55
#pl56
#pl57
#pl58
#pl59
#pl60
#pl61
#pl62
#Play with the [time, mind]-bending perspective yourself
#plref01
#plref02
#plref03
#plref04
#plref05
#plref06
#plref07
#plref08
#plref09
#plref10
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#Preface
#principles, architecture, function, process
#Principles, Principia
#PRIORITY: genetic mechanisms for multi-strand tRNA co-processing
#Proceeding Table of Contents
#[pro, eu]karyotes 
#Programming the programmers
#Project 8200 Exposed | CIA Psychics Find Alien Bases Underground (58:07)
#Project Looking Glass | The Time Warriors of the 2012 Apocalypse (42:23)
#Project: STARGATE. The CIA Mars and... Time Travel. (9:41)
#[proteomic, neuroinfo, MindCode]*[protein, program]*bioFirmWare
#pt2
#Quantum approaches to applications
#Quantum [concept, approach, context]s
#Quantum concepts
#Quantum consciousness
#Quantum contexts for consciousness
#Query 1: gravity is an Electro-Magnetic (EM) effect
#Query 1: Solar micronova and catastrophism
#Query 2: historical concepts of gravity as electro-magnetic
#Query 2: Solar micro-nova and historical catastrophes
#Questions: Grossberg's c-ART, Transformer NNs, and consciousness?
#Quotes
#r1
#r10
#r100
#r101
#r102
#r103
#r104
#r105
#r106
#r107
#r108
#r109
#r11
#r110
#r111
#r112
#r113
#r114
#r115
#r116
#r117
#r118
#r119
#r12
#r120
#r121
#r122
#r123
#r124
#r125
#r126
#r127
#r128
#r129
#r13
#r130
#r131
#r132
#r133
#r134
#r135
#r136
#r137
#r138
#r139
#r14
#r140
#r141
#r142
#r143
#r144
#r145
#r146
#r147
#r15
#r16
#r17
#r18
#r19
#r2
#r20
#r21
#r22
#r23
#r24
#r25
#r26
#r27
#r28
#r29
#r3
#r30
#r31
#r32
#r33
#r34
#r35
#r36
#r37
#r38
#r39
#r4
#r40
#r41
#r42
#r43
#r44
#r45
#r46
#r47
#r48
#r49
#r5
#r50
#r51
#r52
#r53
#r54
#r55
#r56
#r57
#r58
#r59
#r6
#r60
#r61
#r62
#r63
#r64
#r65
#r66
#r67
#r68
#r69
#r7
#r70
#r71
#r72
#r73
#r74
#r75
#r76
#r77
#r78
#r79
#r8
#r80
#r81
#r82
#r83
#r84
#r85
#r86
#r87
#r88
#r89
#r9
#r90
#r91
#r92
#r93
#r94
#r95
#r96
#r97
#r98
#r99
#random fun themes
#[random, scattered, incomplete] comments
#random thoughts
#[rapid, complete] flips of people's thinking (eg in science)
#Ratio of actual to semi-log detrended data : [advantages, disadvantages]
#[RCMP, police]: cannot help, but can file reports for their data
#References
#Regular [1,6] month market views
#ribosomes
#Robert Prechter - Socionomics, the first quantitative sociology?
#SAFIRE, Aureon.ca
#same mRNA code, different mechanism: ergo diff [program, protein]?
/search/
search/
#Secret 10-Year Mission to an Alien Planet 40 Light Years Away | Project Serpo (35:22)
#Section III. Nanoneurology
#Section II. Quantum neurodynamics
#Section I. The dendritic microprocess
#Section IV. Perceptual Processing
#see-reach to hear-speak
#Sentience
#Serious Identity Theft [description, definition]
#Set timePoints for transitions between price [revolutions, equilibria]
#Shapiro &amp Benenson: example stream from early MindCode 2005 on...
#Simple template for working on a dataset
#SMART synchronous matching ART, mismatch triggering
#Smithsonian Cover-Up: Ancient Egyptians and Giants in the Grand Canyon (24:25)
#[software, engineering, other] applications
#Software tools - general comments
#Some historical comments
#So, what does the user have to do to [get, adjust] output?
#SP500 & DJIA indexes back to 1872
#Special comments
#[stable, robust, adaptive] learning
#Stephen Grossberg 2021 Conscious Mind, Resonant Brain
#Stephen Grossberg 2021 'Conscious Mind, Resonant Brain'
#Stephen Puetz - Universal Wave Series
#Stephen Puetz 'Universal Wave Series': not quite a fit
#Strange themes
subject.html#582
#Successful [datamodelling, applications] showing effectiveness of cART etc
#Summary
#Surprise, surprise! funny, even if painful
#Table of Contents
#Table of Contents for the presentation
#Tae Kim: AI Chatbots Keep Making Up Facts. Nvidia Has an Answer
#Terry Sejnowski: Is machine intelligence debatable?
#The_Acts_of_the_Apostles
#The Airforce UFO Cover Up That Drove a Man INSANE | They're LYING to US (33:15)
#The [blessing, curse] of dimensionality
#The_Book_of_Daniel
#The_Book_of_Esther
#The_Book_of_Job
#The_Book_of_Joshua
#The_Book_of_Judges
#The_Book_of_Nehemiah
#The_Book_of_Psalms
#The_Book_of_Ruth
#The_Book_of_the_Prophet_Ezekiel
#The_Book_of_the_Prophet_Isaiah
#The_Book_of_the_Prophet_Jeremiah
#The Brooklyn Bridge UFO | The Weirdest Story You'll Ever Hear (34:34)
#The CIA and UFOs: Inside the Release ... (  )
the computability of symbol names
#The Dark Pyramid of Alaska | Military Cover-up of a Forbidden Collaboration (39:10)
#The_Epistle_of_Paul_the_Apostle_to_Philemon
#The_Epistle_of_Paul_the_Apostle_to_the_Colossians
#The_Epistle_of_Paul_the_Apostle_to_the_Ephesians
#The_Epistle_of_Paul_the_Apostle_to_the_Galatians
#The_Epistle_of_Paul_the_Apostle_to_the_Hebrews
#The_Epistle_of_Paul_the_Apostle_to_the_Philippians
#The_Epistle_of_Paul_the_Apostle_to_the_Romans
#The_Epistle_of_Paul_the_Apostle_to_Titus
#The_Fifth_Book_of_Moses_Called_Deuteronomy
#The_First_Book_of_Moses_Called_Genesis
#The_First_Book_of_Samuel
#The_First_Book_of_the_Chronicles
#The_First_Book_of_the_Kings
#The_First_Epistle_General_of_John
#The_First_Epistle_General_of_Peter
#The_First_Epistle_of_Paul_the_Apostle_to_the_Corinthians
#The_First_Epistle_of_Paul_the_Apostle_to_the_Thessalonians
#The_First_Epistle_of_Paul_the_Apostle_to_Timothy
#The first quantitative sociology, and the second universal wave series?
#The_Fourth_Book_of_Moses_Called_Numbers
#The_General_Epistle_of_James
#The_General_Epistle_of_Jude
#The_Gospel_According_to_Saint_John
#The_Gospel_According_to_Saint_Luke
#The_Gospel_According_to_Saint_Mark
#The_Gospel_According_to_Saint_Matthew
#The great split begins ~200 MyBP [Vancouver Canada, Arctic North-East Russia, Cairns Australia]
#The_Lamentations_of_Jeremiah
#The Moon Revealed: It's a Hollow Spaceship, so who built it and why? (22:34)
#The Moon’s Dark Secret: Aliens Harvesting Human Souls for FOOD (41:16)
#The Most Paranormal Place On Earth - What's Happening on Mount Shasta? (21:06)
#The Nevada Triangle | 2,000 Planes Mysteriously Crashed & Missing Near Area 51 👽🤔 (9:27)
#The_New_Testament_of_the_King_James_Bible
#The_Old_Testament_of_the_King_James_Version_of_the_Bible
#The_Proverbs
#The Rendlesham UFO Encounter and the Alien Message from the Future (36:53)
#The_Revelation_of_Saint_John_the_Divine
#The Search for Noah's Ark | Giants & Aliens in the Book of Enoch (58:11)
#The_Second_Book_of_Moses_Called_Exodus
#The_Second_Book_of_Samuel
#The_Second_Book_of_the_Chronicles
#The_Second_Book_of_the_Kings
#The_Second_Epistle_General_of_John
#The_Second_Epistle_of_Paul_the_Apostle_to_the_Corinthians
#The_Second_Epistle_of_Paul_the_Apostle_to_the_Thessalonians
#The_Second_Epistle_of_Paul_the_Apostle_to_Timothy
#The_Second_General_Epistle_of_Peter
#The_Song_of_Solomon
#The_Third_Book_of_Moses_Called_Leviticus
#The_Third_Epistle_General_of_John
#The Time Traveler who Vanished | The Sergei Ponomarenko Story (12:52)
#The Truth about Roswell: Decoding Decades of Deception (51:00)
#The UFO Incident That Shocked Ariel School: Telepathic Extraterrestrials (Re-Edit) (32:12)
#The underlying basis in [bio, psycho]logical data
#Three simple example themes, counter to science religions
#Thunderbolts.info 04Oct2016 - The Sun's Influence on Consciousness
#Thunderbolts.info 31Mar2020 - Geomagnetic Effects on Earth's Biology, Electricity of Life
#Thunderbolts.info - the Electric Universe and Health
#tie-in with Grossberg's 2021 'Conscious Mind, Resonant Brain'
#Time periods of the attack and my recovery
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#Tools to [download, analyse, etc] * [webPages, blogs, speech]
#top-down bottom-up
#Transcription notes : 
#[Turing, von Neuman] machines of gene mechanisms?
#Undefined neuron structures, Universal Function Approximators, Magic science
#USA Center for Disease Control - Leading Causes of Death 2017
#USA: IDtheft growth
#USOIL, Canadian [XEG ETF,CNQ,IMO,SU], 10y T-bill
#Valiant Thor: A UFO, the Pentagon and a 3-year Mission to Save the World (18:28)
#Varginha UFO Crash: Alien Contact, Government Denial and Coverup (27:55)
#Vedic Tradition (Ancient Hindu) Cycles of Yugas – A 12,000-Year Epoch
#video link
#vig186
#Wandering split of today's continents and islands 200 MyBP-> present (Neal Adams)
#Warehousing graphical data
#WARNING: my [current situation, next steps], as of 04Apr2025
#Was 2007-2009 the modern equivalent to the 1929 crash?
#'Water World' and the early forms of life? (Tyrrell museum)
#We Are the Aliens | Life's Interstellar Journey to Earth: Panspermia (42:40)
/weather/
#We’re All Different and That’s Okay
#What Are They Hiding Underneath? The Truth about the Denver International Airport Conspiracy (28:39)
#What CAN the user change?
#What is consciousness?
#what is currently ignored by callerID-SNNs?
#What is LaMDA and What Does it Want?
#What is sentience and why does it matter?
#What's [wrong with, missing from] the current model?
#When [Eastern Australia, North-East Russia, Western Canada] were neighbors
#Which [module, modal architecture, process]s [are, are not] conscious?
#Why are there hexagonal grid cell receptive fields?
#[why, how] does a neuron spike? (or not) : 
#[Wilhelm Able, David Fischer]: Price revolutions and the rythm of history
#Zechariah
#Zephaniah
#Zoroastrian