Cell Assemblies: The Basis of Thought

• Learning with Spiking Nets paper, code, etc.
• Code for the CABots and Other Neural Agents paper.
• Various versions of CANT23 and CABot.
• Various CANT23 projects.
• Prototype CANT 2.0 system. Please report any problems to me.
• Prototype CANT 1.8 system old version.
• Cell Assembly Simulations
• Cell Assembly Based Task Analysis
• Grants
  • My relatively long running NEAL (neurmomorphic embodied agents that learn) project.
  • AN EPSRC grant has been awarded on Neuromorphic Control of a Fast Walking Robot.
  • An EPSRC grant was awarded entitled Natural Language Parsing with Cell Assemblies: computational linguistics with attractor nets. We called it CABot, the Cell Assembly roBot.
  • Modelling Cell Assemblies as Neuro-Psychological Phenomena and for Practical Applications. Grant proposal for EPSRC. in postscript in tex personal description in postscript personal description in tex
• Talks that I've done on this.
  • Competitive Learning with Spiking Nets and Spike Timing Dependent Plasticity, at the SGAI conference in Cambridge in December 2022 by Chris with Orume Erekpaine.
  • Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticity, at the SGAI conference in Cambridge virtually in December 2021 by Chris with Carlos Samey.
  • NEST for Associative Memory with Winner Take All Nets, a keynote at the NEST 2021 conference virtual June 2021 with Alberto Vergani.
  • Implementing Rules with Artificial Neurons, at the SGAI conference in Cambridge in December 2018 by Chris from work with Dainius Kreivenas.
  • A Proto Neural Cognitive Architecture, at the AI seminar at Middlesex in October 2018 by Chris.
  • A Half Cognitive Model of Categorisation, a talk I gave at the Middlesex Theory of Computing and AI seminar in November 2016.
  • Better Cell Assemblies , a talk I gave at BICA 2015.
  • Here's a talk entitled Natural Language Processing with Neurons that I gave to the Sheffield NLP group in October 2015.
  • Building Neuromorphic Embodied Cell Assembley Agents that Learn, a talk I gave at BICA 2014 from work done with Ian Mitchell.
  • Programming the MIRTO Robot with Neurons, a talk I gave at BICA 2014 from work done with Giuseppe Primiero and Franco Raimondi.
  • NEAL: Neuromorphic Embodied Agents that Learn, a talk I gave at the AI reading group in October 2013 on a grant application Ian Mitchell and I are making.
  • Compensatory Hebbian learning for categorisation in simulated biological neural nets, a talk I gave to the Biologically Inspired Cognitive Architectures conference (BICA 2013) in Kiev in September 2013.
  • Spiking Neurons with Boltzmann-like Properties to Learn Xor, a talk I gave to the AI Reading group at MDX November 16th, 2012.
  • Vowel Recognition in Simulated Neurons, a talk I gave in Toronto July 2012 at the workshop on Neural-Symbolic Learning and Reasoning associated with AAAI and associated web page.
  • Developing AI with Simulated Neurons, a talk I gave at the University of York in May 2012.
  • A Cognitive Model of Natural Language Parsing, a talk I gave at Birkbeck College University of London in July 2011.
  • Getting Fundamental Aspects of Language Understanding To Work in a Neuromorphic Framework, a talk I gave at the Telluride Neuromorphic Engineering Workshop July 2011.
  • Biological Parameters for FLIF Neurons, a talk I gave at IMCIC in Orlando Florida in March 2011.
  • Biological Parameters for FLIF Neurons, a talk I gave at Middlesex to the AI Group in December 2010.
  • Cell Assemblies for Physical Robots, a talk I gave at Middlesex in September 2010.
  • Cell Assembly Robots: Vision and Cognitive Modelling A talk I gave at the University of Groningen in April 2009.
  • Cell Assembly Robots A talk I gave at Middlesex for the School Research Seminar in March 2009.
  • A Psycholinguistic Model of Natural Language Parsing Implemented in Simulated Neurons A talk I gave at the U of Sheffield in March 2009.
  • CABot2: a neural agent that is a step toward AI A talk I gave at the BCS Dorset's meeting in Feb 2009.
  • AI via Neural Processing A talk I gave at the U. of Manchester in October 2008.
  • CABot1: a Videogame Agent Implement in fLIF neurons given at Middlesex September 2008
  • Models of Cell Assembly Decay given at Middlesex September 2008
  • Implementation of Finite State Automata using fLIF Neurons given at Middlesex September 2008
  • Talk at Middlesex Nov. 2006 on current Cell Assembly Issues
  • Vision in an Agent based on Fatiguing Leaky Integrate and Fire Neurons at Advances in Cybernetic Systems 2006 in Sheffield
  • EPSRC Sponsored Cell Assembly Agent Grant talk at Middlesex May 2006
  • Counting with Neurons: Rule Application with Fatiguing LIF Neurons A talk I gave at the 7th International Conference on Cognitive Modelling in Trieste in April 2006.
  • Variable Binding of Cell Assemblies with Binding Areas and Spontaneous Neural Activation A talk I gave at the 22nd annual workshop of the European Society for the Study of Cognitive Systems in July 2005.
  • Cell Assemblies A talk I gave at the U. of Manchester in May 2005.
  • Cell Assemblies A talk I gave at UCL in August 2004.
  • Cell Assemblies A talk I gave at York in June 2004.
  • Cell Assemblies A talk I gave at the MDX SCS weekly seminar in April 2004. Similar to the Sussex talk below.
  • Talks for Grand Challenges Mind and Brain Architecture
  • Cell Assemblies: . A talk I gave to the COGS group at Sussex in February 2004
  • Cell Assemblies: Bridging the Gap Between Neurons and Psychological Phenomena. A talk I gave to the Psychology department at Middlesex in October 2003
  • Developing Artificial Intelligence by Modelling the Brain. A talk I was invited to give in Montenegro at the IPSI-2003 VIP Forum.
  • Dual Trace and Dual Stable State Memory. A talk I gave at the European Society for the Study of Cognitive Systems 20th annual workshop.
  • Simulating Neural Cell Assemblies as a Basis for Semantic Memory, Episodic Memory, and Variable Binding. A talk I gave at the British Psychological Society in London
  • Cell Assemblies, Self Organising Maps and Hopfield Nets. A poster I gave at the 6th International Conference on Cognitive and Neural Systems
  • Cell Assemblies and Research in the School of Computing Science at Middlesex University A talk I gave at the weekly research seminar at Middlesex in march 2002.
  • Cell Assemblies from Correlation. A talk I gave at the U of Plymouth's Centre for Neural and Adaptive Sytems
  • Describing Low Level Psychological Phenomena Through Cell Assemblies. A talk I gave at the 7th Neural Computation and Psychology Workshop in Brighton in September 2001.
  • Spontaneous Neural Firing in Biological and Artificial Neural Systems. A talk I gave in Maastricht in May 2001.
  • Natural Language Parsing with Cell Assemblies: A Model of Nonconscious Human Language Processing.. A talk I gave at the AISB conference in York March 2001.
  • Natural Language Parsing with Cell Assemblies. A talk I gave at U. of Sheffield in November 2000.
  • Cell Assemblies for Rapid Recognition and Disambiguation. Talk from EPSRC Workshop on Current Computational Architectures Integrating Neural Nets and Neuroscience in Durham August 2000.
  • Modelling Cell Assemblies . Talk from ICAI 2000 in Las Vegas June 2000.
  • Cells Assemblies and the Necker Cube. This is a talk I gave at the Middlesex Research Seminar on May 3rd 2000.
  • Hebb, Cells Assemblies and How We Think. This is a relatively simple talk I gave at the Middlesex Research Seminar on March 3rd 1999.
• My Papers

  Journal Articles

  • Hot Coffee: Associative Memory with Bump Attractor Cell Assemblies of Spiking Neurons by Huyck and Vergani for the Journal of Computational Neuroscience (2020) the paper in pdf
  • CABots and Other Neural Agents, Huyck and Mitchell for Frontiers in Neurorobotics (2018) the paper in pdf
  • A Spiking Half-Cognitive Model for Classification, Huyck and Kulkarni in Connection Science (2018) the paper in pdf
  • Post and Pre-Compensatory Hebbian Learning for Categorisation Huyck and Mitchell for Cognitive Neurodynamics (2014) the paper in pdf
  • Compensatory Hebbian Learning for Categorisation in Simulated Biological Neural Nets from Biologically Inspired Congitive Architectures (2013) the paper in pdf
  • A Review of Cell Assemblies from Biological Cybernetics (2013) the paper in pdf
  • Parameter Values and Fatigue Mechanisms for FLIF neurons from Systemics, Cybe4rnetics and Informatics (2012) the paper in pdf the page for the paper.
  • A Neuro-computational Approach to PP Attachment Ambiguity Resolution from Neural Computation (2012) the paper in pdf
  • Conflict Resolution and Learning Probability Matching in a Neural Cell Assembly Architecture, Belavkin and Huyck. submitted to Cognitive Systems Research (2011) draft in pdf.
  • Processing with Cell Assemblies, Neurocomputing (2010), draft in pdf.
  • A Pong Playing Agent Modelled with Massively Overlapping Cell Assemblies from Neurocomputing (2010) the paper in pdf
  • A Psycholinguistic Model of Natural Language Parsing Implemented in Simulated Neurons from Cognitive Neurodynamics (2009) the paper in pdf
  • Variable Binding by Synaptic Strength Change from Connection Science (2009) the paper in pdf
  • Papers from the CABot grant
  • Creating Hierarchical Cell Assemblies, from Connection Science 2007. in postscript in tex in pdf
  • Information Retrieval and Categorisation using a Cell Assembly Network. A paper submitted to Neural Computing and Applications Journal. in postscript in word in tex
  • Overlapping Cell Assemblies From Correlators. A paper from Neural Computing Letters 2004. in postscript in pdf in tex
  • Spontaneous Neural Firing in Biological and Artificial Neural Systems, submitted to the Journal of Cognitive Systems in postscript in text in tex.
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  • It is not Evolution but a Better Game Would Need a Better Agent. A paper from Behaviour and Brain Science 2005. in word
  
  

  Conferences and Workshops

  • Learning Categories with Spiking Nets and Spike Timing Dependent Plasticity from SGAI 2020 in the ether in pdf
  • Implementing Rules with Artificial Neurons from SGAI 2018 in Cambridge in pdf
  • Two Simple NeuroCognitive Associative Memory Models from ICCM 2018 in Madison Wisconsin in pdf
  • The Neural Cognitive Architecture, from the AAAI 2017 autumn symposium on Standard Models of the Mind in pdf
  • PlaNeural: Spiking Neural Networks that Plan, from BICA 2016 in pdf
  • Programming the MIRTO Robot with Neurons, from BICA 2014 in Boston in pdf
  • Building Neuromorphic Embodied Cell Assembly Agents that Learn, from BICA 2014 in Boston in pdf
  • CABot3: A Simulated Neural Games Agent from NeSY11 in Barcelona in pdf
  • Cell Assemblies for Query Expansion from IJCNN 2011 in pdf
  • Parameter Values for FLIF Neurons from IMCIC 2011 in Orlando in pdf
  • Papers from the CABot grant
  • Vision in an Agent based on Fatiguing Leaky Integrate and Fire Neurons, from at Advances in Cybernetic Systems 2006 in Sheffield in postscript in tex in pdf
  • Counting with Neurons, Rule Application with Nets of Fatiguing Leaky Integrate and Fire Neurons, from the Cognitive Modelling Conference 2006 in Trieste in postscript in tex in pdf
  • Developing Artificial Intelligence by Modelling the Brain. An invited paper from the IPSI VIP forum (2003) in Montengro. in postscript in pdf in tex
  • Cell Assemblies, Self Organising Maps and Hopfield Networks. An abstract from 6th conference on cognitive and neural systems in word format
  • Neural Cell Assemblies for Practical Applications. A paper from the 6th multi conference on Systemics, Cybernetics and Inforrmatics in word format
  • Describing Low Level Psychological Phenomena throuch Cell Assemblies. A paper from the 7th Neural Computation and Psychology Workshop 2001. in postscript in tex
  • Natural Language Parsing with Cell Assemblies, for the 2001 AISB conference in postscript in tex
  • Cell Assemblies as an Intermediate Level Model of Cognition. A chapter from Emerging Neural Architectures based on Neuroscience. in postscript in pdf in tex This appears in Emergent Neural Computational Architectures Based on Neuroscience
  • Modelling Cell Assemblies. A paper from the Las Vegas AI conference for 2000. in postscript in tex
  • Cell Assemblies for Rapid Recognition and Disambiguation. A draft of a paper presented at the third International Workshop on Current Computational Architectures Integrating Neural Nets and Neuroscience (Durham 2000). in postscript in tex snoopy curve ps ambiguous curve eps
  
  

  Technical Reports

  • Modelling Cell Assemblies. This is a Middlesex technical report in postscript in tex in adobe pdf.
  • Middlesex Technical report on Cell Assemblies and Neural Network Theory: from Correlators to CAs in postscript in pdf in latex
• Pages General
  • Human Physiological Brain Maps
  • Psychological Datasets
  • Questions on Hebbs Essay of Mind chpt. 6
  • Usenet neuralnets newsgroup
  • Yahoo's Neural Nets Page
  • Cal Tech's Computaionl and Neural Systems Page
  • Jim Bower at Cal Tech and the Genesis simulator.
  • NIMHs neuroinformatics home page.
  • Neurosciences on the internet
  • List of Pages
  • Brunel Centre for Neural Computing Applications
  • UCLs Neural Computation Page
  • UCLs Gatsby Computational Neuroscience Unit
  • UCL ICN talks
  • Biological Cybernetics
  • EPSRC home page
  • The ACT home page (John R. Anderson)
  • A page on Maturana and Varela. It's Autopoietic Theory and was recommended by Colin Tully
  • Foresight project a multi-disciplinary cognitive systems project sponsored by a range of bodies including EPSRC
• Conferences
  • International Joint contference on Neural Nets 2007
  • 5th Conference on Advances in Cybernetic Systems 2006
  • 17th European Conference on AI ECAI 2006
  • The 7th International Conference on Cognitive Modelling
  • ECAL 2005
  • AAAI 2005
  • VIP Forum
  • 6th International Conference on Cognitive and Neural Systems
  • Seventh Neural Computation and Psychology Workshop
  • The Annual Computational Neuroscience Meeting
  • EPSRC Workshop on Current Computational Architectures Integrating Neural Networks and Neuroscience
  • The 23rd Cognitive Science Meeting
  • Eighteenth Annual Workshop on Cognitive Systems
  • AISB conference
  • European Society for the Study of Cognitive Systems
  • Journals
    • Neural Computing and Applications
• Specific Pages
  • Chris's Grand Challenges Architecture of Brain and Mind page
  • The Neuroinformatics site.
  • EmerNet Homepage (at sunderland with Wermter).
  • Grand Challenges.
  • Mirror Bot.
  • Pearson's Correlation Coefficient for measuring CA similarities (via Hetherington).
  • Antwerp Theoretical Neurobiology for studies of a single neuron.
  • Parallel Distributed Processing Techniques and Application Conference
  • Cortical Columns, Modules and Hebbian Cell Assemblies
  • Hebbian CAs: Recurrent NNs as attractor nets
  • Webs, Cell Assemblies and Chunking in Neural Nets
  • Steve Harnad's papers Symbol Grounding, Philosophical foundations, etc.
  • Middlesex Psychology Dept.
  • King's Neural Nets and Disordered Systems Group
  • Barry Drakes page on Synfire Chains
• Fellow Researchers
  • Igor Aleksander Imperial College Neural Net Prof.
  • Angelo Cangelosi Neural Net and Psych lecturer at U of Plymouth's Centre for Neural and Adaptive Sytems
  • Gail Carpenter Boston Universities Department of Cognitive and Neural Sytems
  • Eric Chown a SESAME member interested in Cell Assemblies and Cognitive Maps
  • Bob French a SESAME member interested in basic learning mechansims. At the U of Liege.
  • Chriso Panchev U of Sunderland Looking at CA models
  • Friedmann Pulvermuller Cambridge Psych. Prof. buys into CAs.
  • Loekendra Shastri U of Berkeley Computational Neuroscientist
  • Murray Shanahan GC 5, Robotics
  • Walter Freeman U of Berkeley Neuroscientist, interested in chaotic attractors
  • Richard Shillcock's home page U of Edinburg Psychologist
  • Jacques Sougne At the U of Liege. Working on spiking neural models. Interested in binding, Hebbian learning and is working on a large (500,000 neuron) model.
  • Marius Usher: Birkbeck Psych Lecturer, Recurrent Nets
  • Prof. Stefan Wermter, U of Sunderland. Connectionist, and Natural Language Connectionism.
  • Thomas Wennekers at Max Plank Leipzig. CA modeller, but now at Plymouth.
  • Richard Bowles a PhD at Middlesex student working on CAs.
  • Ali Minai dynamic neural models of cognition
  • Chris Eliasmith Computational Neuroscience, vector processing
• Questions
  • To what degree does neuron and synapse death facilitate learning? (Wolffe)
  • What's a good mechanism for measuring the presence of CAs?
  • Are CAs only important in certain parts of the brain? Is V1 mostly feedforward and thus no reverberation?
  • Are there different time courses in different parts of the brain? (Faster closer to input output)
  • Is firing rate/pattern the way the brain solves the binding problem? How could you show that it does?
  • What do brain (cortical) layers have to do with reverberation?
  • How big are CAs? (30,000 neurons from Ramin Assadollahi)
  • What are the ramifications of modelling 1 spike at 10ms vs. a series of spikes over that period?
  • Are there different types of CAs?
  • Can we create (not learn) a net with 10,000 neurons and 100 CAs that has neurons participating in multiple CAs? (eg. each neuron participates in (at least) 2 CAs.)

This page was developed by Chris Huyck
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