Distributed cell assemblies and detailed cell models

Abstract Hebbian cell-assembly theory and attractor networks are good starting points for modeling cortical processing. Detailed cell models can be useful in understanding the dynamics of attractor networks. Cell assemblies are likely to be distributed, with the cortical column as the local processing unit. Synaptic memory may be dominant in all but the first couple of seconds.

[1]  Javier Quintana,et al.  Prefrontal representation of stimulus attributes during delay tasks. I. Unit activity in cross-temporal integration of sensory and sensory-motor information , 1988, Brain Research.

[2]  P. Andersen,et al.  Amplitude fluctuations in small EPSPs recorded from CA1 pyramidal cells in the guinea pig hippocampal slice , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[3]  G. Ermentrout,et al.  Phase transition and other phenomena in chains of coupled oscilators , 1990 .

[4]  J. Fuster,et al.  Cellular discharge in the dorsolateral prefrontal cortex of the monkey in cognitive tasks , 1982, Experimental Neurology.

[5]  Fabrizio De Ponti,et al.  N-Methyl-di-aspartate receptors modulate neurotransmitter release and peristalsis in the guinea pig isolated colon , 1995, Neuroscience Letters.

[6]  Pentti Kanerva,et al.  Sparse Distributed Memory , 1988 .

[7]  J. Fuster Unit activity in prefrontal cortex during delayed-response performance: neuronal correlates of transient memory. , 1973, Journal of neurophysiology.

[8]  Philip T. Quinlan,et al.  Connectionsim and psychology - a psychological perspective on new connectionist research , 1991 .

[9]  H. C. LONGUET-HIGGINS,et al.  Non-Holographic Associative Memory , 1969, Nature.

[10]  E. Ruppin Neural modelling of psychiatric disorders , 1995 .

[11]  R. Llinás,et al.  Coherent 40-Hz oscillation characterizes dream state in humans. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[12]  William Bialek,et al.  Reliability and information transmission in spiking neurons , 1992, Trends in Neurosciences.

[13]  Eugene Chekaluk,et al.  Is there a role for extraretinal factors in the maintenance of stability in a structured environment? , 1994, Behavioral and Brain Sciences.

[14]  K. Spence The nature of discrimination learning in animals. , 1936 .

[15]  W. Singer,et al.  Long-term depression of excitatory synaptic transmission and its relationship to long-term potentiation , 1993, Trends in Neurosciences.

[16]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[17]  R. Reilly,et al.  Connectionist approaches to natural language processing , 1994 .

[18]  D. Burr,et al.  Selective depression of motion sensitivity during saccades. , 1982, The Journal of physiology.

[19]  Y. Miyashita Neuronal correlate of visual associative long-term memory in the primate temporal cortex , 1988, Nature.

[20]  T J TIGHE,et al.  REVERSAL AND NONREVERSAL SHIFTS IN MONKEYS. , 1964, Journal of comparative and physiological psychology.

[21]  Masahiko Morita,et al.  Smooth recollection of a pattern sequence by nonmonotone analog neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[22]  W. Freeman,et al.  Chaotic dynamics versus representationalism , 1990, Behavioral and Brain Sciences.

[23]  Walter J. Freeman,et al.  Valium, histamine, and neural networks , 1993, Biological Psychiatry.

[24]  D J Field,et al.  Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[25]  W. Freeman Second Commentary: On the proper treatment of connectionism by Paul Smolensky (1988) - Neuromachismo Rekindled , 1989 .

[26]  B. Burns Some properties of isolated cerebral cortex in the unanaesthetized cat , 1951, The Journal of physiology.

[27]  JEAN PETITOT,et al.  MORPHODYNAMICS AND THE CATEGORICAL PERCEPTION OF PHONOLOGICAL UNITS , 1988 .

[28]  W. Freeman Analog simulation of prepyriform cortex in the cat , 1968 .

[29]  Sompolinsky,et al.  Neural networks with nonlinear synapses and a static noise. , 1986, Physical review. A, General physics.

[30]  L. F. Cugliandolo,et al.  Correlated Attractors from Uncorrelated Stimuli , 1994, Neural Computation.

[31]  D. M. MACKAY,et al.  Elevation of Visual Threshold by Displacement of Retinal Image , 1970, Nature.

[32]  Y. Kuramoto,et al.  Statistical macrodynamics of large dynamical systems. Case of a phase transition in oscillator communities , 1987 .

[33]  P. Cavanagh,et al.  Saccadic suppression of low-level motion , 1989, Vision Research.

[34]  J. Kruschke,et al.  ALCOVE: an exemplar-based connectionist model of category learning. , 1992, Psychological review.

[35]  T. Elbert,et al.  Visual stimulation alters local 40-Hz responses in humans: an EEG-study , 1995, Neuroscience Letters.

[36]  N Brunel,et al.  Correlations of cortical Hebbian reverberations: theory versus experiment , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[37]  W. Freeman Societies of Brains: A Study in the Neuroscience of Love and Hate. By W. J. Freeman. Erlbaum: Hillsdale, NJ. 1994. , 1997, Psychological Medicine.

[38]  Walter J. Freeman,et al.  TUTORIAL ON NEUROBIOLOGY: FROM SINGLE NEURONS TO BRAIN CHAOS , 1992 .

[39]  D. Zipser,et al.  A spiking network model of short-term active memory , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[40]  Peter C. M. Molenaar,et al.  An experimental test of rule-like network performance , 1996 .

[41]  Daniel J. Amit,et al.  Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors , 1999, Neural Computation.

[42]  D. Burr,et al.  Selective suppression of the magnocellular visual pathway during saccadic eye movements , 1994, Nature.

[43]  Morris W. Hirsch Book Review: Realism in mathematics , 1995 .

[44]  Susumu Tonegawa,et al.  The role of calcium–calmodulin kinase II in three forms of synaptic plasticity , 1994, Current Biology.

[45]  P. Goldman-Rakic Working memory and the mind. , 1992, Scientific American.

[46]  G. Müller,et al.  Experimentelle Beiträge zur Lehre vom Gedächtniss , 1900 .

[47]  P. Milner A cell assembly theory of hippocampal amnesia , 1989, Neuropsychologia.

[48]  D. Amit,et al.  Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks , 1991 .

[49]  M. Tsodyks,et al.  The Enhanced Storage Capacity in Neural Networks with Low Activity Level , 1988 .

[50]  H. Putnam Representation and Reality , 1993 .

[51]  J. Rauschecker Compensatory plasticity and sensory substitution in the cerebral cortex , 1995, Trends in Neurosciences.

[52]  K Sakai,et al.  Neuronal tuning and associative mechanisms in form representation. , 1994, Learning & memory.

[53]  Minami Ito,et al.  Columns for visual features of objects in monkey inferotemporal cortex , 1992, Nature.

[54]  N. Weinberger,et al.  Cholinergic modulation of frequency receptive fields in auditory cortex: I. Frequency‐specific effects of muscarinic agonists , 1989, Synapse.

[55]  J. Hopfield,et al.  Dynamic properties of neural networks with adapting synapses , 1992 .

[56]  M. Knapp,et al.  Association, synonymity, and directionality in false recognition. , 1968, Journal of experimental psychology.

[57]  D. Amit Persistent delay activity in cortex: a Galilean phase in neurophysiology? , 1994 .

[58]  E. Tulving Précis of Elements of episodic memory , 1984, Behavioral and Brain Sciences.

[59]  B. Grant,et al.  SELECTION ON BILL CHARACTERS IN A POPULATION OF DARWIN'S FINCHES: GEOSPIZA CONIROSTRIS ON ISLA GENOVESA, GALÁPAGOS , 1985, Evolution; international journal of organic evolution.

[60]  Daniel J. Amit,et al.  Quantitative Study of Attractor Neural Network Retrieving at Low Spike Rates: I , 1991 .

[61]  J. Greg Anson,et al.  Neuromotor programming: Bilateral and unilateral effects on simple reaction time , 1993 .

[62]  V. Braitenberg Cell Assemblies in the Cerebral Cortex , 1978 .

[63]  T. Sejnowski,et al.  Storing covariance with nonlinearly interacting neurons , 1977, Journal of mathematical biology.

[64]  H. Neville,et al.  Language and , 2019, Adventure Diffusion.

[65]  John von Neumann,et al.  The Computer and the Brain , 1960 .

[66]  R. T. Kelleher Discrimination learning as a function of reversal and nonreversal shifts. , 1956, Journal of experimental psychology.

[67]  P M MILNER,et al.  The cell assembly: Mark II. , 1957, Psychological review.

[68]  V. Braitenberg Vehicles, Experiments in Synthetic Psychology , 1984 .

[69]  C. Darwin The Descent of Man and Selection in Relation to Sex: INDEX , 1871 .

[70]  Josef P. Rauschecker,et al.  Ketamine—xylazine anaesthesia blocks consolidation of ocular dominance changes in kitten visual cortex , 1987, Nature.

[71]  R. Desimone,et al.  Activity of neurons in anterior inferior temporal cortex during a short- term memory task , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[72]  I. Morgenstern,et al.  Heidelberg Colloquium on Glassy Dynamics , 1987 .

[73]  S. Renals,et al.  A study of network dynamics , 1990 .

[74]  G. J. Dalenoort In search of the conditions for the genesis of cell assemblies: A study in self-organization , 1982 .

[75]  Stevan Harnad,et al.  Symbol grounding problem , 1990, Scholarpedia.

[76]  P K Kuhl,et al.  Cross-modal speech perception in adults and infants using nonspeech auditory stimuli. , 1991, Journal of experimental psychology. Human perception and performance.

[77]  Daniel J. Amit,et al.  Learning in Neural Networks with Material Synapses , 1994, Neural Computation.

[78]  B. Rockstroh,et al.  Slow potentials of the cerebral cortex and behavior. , 1990, Physiological reviews.

[79]  Prof. Dr. Valentino Braitenberg,et al.  Anatomy of the Cortex , 1991, Studies of Brain Function.

[80]  G. Friedman,et al.  Comparing reversal and nonreversal shifts in concept formation with partial reinforcement controlled. , 1958, Journal of experimental psychology.

[81]  Bettina Mohr,et al.  Lexical decision after left, right and bilateral presentation of function words, content words and non-words: Evidence for interhemispheric interaction , 1994, Neuropsychologia.

[82]  A. Buss,et al.  Reversal and nonreversal shifts in concept formation with partial reinforcement eliminated. , 1956, Journal of experimental psychology.

[83]  Penelope Maddy,et al.  Realism in mathematics , 1991 .

[84]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory, Third Edition , 1989, Springer Series in Information Sciences.

[85]  B. Cessac,et al.  CONTROL OF THE TRANSITION TO CHAOS IN NEURAL NETWORKS WITH RANDOM CONNECTIVITY , 1993 .

[86]  K Tanaka,et al.  Neuronal mechanisms of object recognition. , 1993, Science.

[87]  B Hyland,et al.  Cortical cell assemblies: a possible mechanism for motor programs. , 1994, Journal of motor behavior.

[88]  Eric Chown Consolidation and learning: a connectionist model of human credit assignment , 1994 .

[89]  M. Kennedy Regulation of neuronal function by calcium , 1989, Trends in Neurosciences.

[90]  J M Fuster,et al.  Neuronal firing in the inferotemporal cortex of the monkey in a visual memory task , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[91]  W. Singer,et al.  The formation of cooperative cell assemblies in the visual cortex. , 1990, The Journal of experimental biology.

[92]  J. Fuster,et al.  Effects of cooling parietal cortex on prefrontal units in delay tasks , 1989, Brain Research.

[93]  W Singer,et al.  Visual feature integration and the temporal correlation hypothesis. , 1995, Annual review of neuroscience.

[94]  J. Fuster,et al.  Functional interactions between inferotemporal and prefrontal cortex in a cognitive task , 1985, Brain Research.

[95]  G. Laurent,et al.  Encoding of Olfactory Information with Oscillating Neural Assemblies , 1994, Science.

[96]  Christopher G. Langton,et al.  Computation at the edge of chaos: Phase transitions and emergent computation , 1990 .

[97]  N. Birbaumer,et al.  Electrocortical distinction of vocabulary types. , 1995, Electroencephalography and clinical neurophysiology.

[98]  J. Rauschecker,et al.  Crossmodal changes in the somatosensory vibrissa/barrel system of visually deprived animals. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[99]  M E Bitterman,et al.  Improvement in habit reversal as related to dimensional set. , 1966, Journal of comparative and physiological psychology.

[100]  W. Singer,et al.  Temporal coding in the visual cortex: new vistas on integration in the nervous system , 1992, Trends in Neurosciences.

[101]  James J. Wright,et al.  Intracortical connectivity of pyramidal and stellate cells: estimates of synaptic densities and coupling symmetry , 1994 .

[102]  H. Kendler,et al.  Vertical and horizontal processes in problem solving. , 1962, Psychological review.

[103]  J. Fodor,et al.  The Language of Thought , 1980 .

[104]  A Lansner,et al.  Computer models of the brain--how far can they take us? , 1994, Journal of theoretical biology.

[105]  J. Buhmann,et al.  Associative memory with high information content. , 1989, Physical review. A, General physics.

[106]  A. Lansner,et al.  Modelling Hebbian cell assemblies comprised of cortical neurons , 1992 .

[107]  S. Pinker,et al.  Connections and symbols , 1988 .

[108]  Roland Heim,et al.  Theoretical Approaches to Complex Systems , 1978 .

[109]  E. Matin Saccadic suppression: a review and an analysis. , 1974, Psychological bulletin.

[110]  Donald O. Walter,et al.  Mass action in the nervous system , 1975 .

[111]  Sommers,et al.  Chaos in random neural networks. , 1988, Physical review letters.

[112]  Ehud Ahissar,et al.  A multi-electrode array for combined microiontophoresis and multiple single-unit recordings , 1995, Journal of Neuroscience Methods.

[113]  B. Baird,et al.  Relation of olfactory EEG to behavior: spatial analysis. , 1987, Behavioral neuroscience.

[114]  Anthony Arak,et al.  Callers and satellites in the natterjack toad: evolutionarily stable decision rules , 1988, Animal Behaviour.

[115]  Willard Van Orman Quine,et al.  Word and Object , 1960 .

[116]  P. Smolensky On the proper treatment of connectionism , 1988, Behavioral and Brain Sciences.

[117]  James M. Bower,et al.  Computation and Neural Systems , 2014, Springer US.

[118]  Daniel J. Amit,et al.  In defence of single-electrode recordings , 1992 .

[119]  R. Cummins Meaning and mental representation , 1990 .

[120]  D. Hebb Textbook of psychology , 1958 .

[121]  H. Kendler,et al.  A comparison of reversal shifts and nonreversal shifts in human concept formation behavior. , 1955, Journal of experimental psychology.

[122]  Joel L. Davis,et al.  Long-term potentiation : a debate of current issues , 1991 .

[123]  Werner Lutzenberger,et al.  Words and pseudowords elicit distinct patterns of 30-Hz EEG responses in humans , 1994, Neuroscience Letters.

[124]  J. Rauschecker,et al.  Mechanisms of visual plasticity: Hebb synapses, NMDA receptors, and beyond. , 1991, Physiological reviews.

[125]  W. Freeman,et al.  How brains make chaos in order to make sense of the world , 1987, Behavioral and Brain Sciences.

[126]  John H. Holland,et al.  Tests on a cell assembly theory of the action of the brain, using a large digital computer , 1956, IRE Trans. Inf. Theory.

[127]  D. Burr,et al.  Contrast sensitivity at high velocities , 1982, Vision Research.

[128]  D C Krakauer,et al.  The evolution of exploitation and honesty in animal communication: a model using artificial neural networks. , 1995, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[129]  C. Darwin The descent of man, and Selection in relation to sex, Vol 1. , 1871 .

[130]  Keiji Tanaka Inferotemporal cortex and higher visual functions , 1992, Current Biology.

[131]  M. A Virasoro Categorization in neural networks and prosopagnosia , 1989 .

[132]  Masahiko Morita A neural network model of the dynamics of a short-term memory system in the temporal cortex , 1992, Systems and Computers in Japan.

[133]  B. McNaughton,et al.  Synaptic efficacy and EPSP summation in granule cells of rat fascia dentata studied in vitro. , 1981, Journal of neurophysiology.

[134]  P. Goldman-Rakic Cellular and circuit basis of working memory in prefrontal cortex of nonhuman primates. , 1990, Progress in brain research.

[135]  B L McNaughton,et al.  Dynamics of the hippocampal ensemble code for space. , 1993, Science.

[136]  A. Aertsen,et al.  Neuronal assemblies , 1989, IEEE Transactions on Biomedical Engineering.

[137]  Friedemann Pulvermüller,et al.  Interhemispheric cooperation during lexical processing is mediated by the corpus callosum: Evidence from the split-brain , 1994, Neuroscience Letters.

[138]  S. Hayes Rule-governed behavior : cognition, contingencies, and instructional control , 1989 .

[139]  S. Pinker,et al.  On language and connectionism: Analysis of a parallel distributed processing model of language acquisition , 1988, Cognition.

[140]  H Niki,et al.  Prefrontal unit activity during delayed alternation in the monkey. I. Relation to direction of response. , 1974, Brain research.

[141]  James P. Crutchfield,et al.  Geometry from a Time Series , 1980 .

[142]  M. Enquist,et al.  Selection of exaggerated male traits by female aesthetic senses , 1993, Nature.

[143]  R. Hoffman Computer simulations of neural information processing and the schizophrenia-mania dichotomy. , 1987, Archives of general psychiatry.

[144]  Giorgio de Santillana,et al.  Hamlet's Mill , 1969 .

[145]  D. Sholl The organization of the cerebral cortex , 1957 .

[146]  Z. Pylyshyn Computation and cognition: issues in the foundations of cognitive science , 1980, Behavioral and Brain Sciences.

[147]  P. Goldman-Rakic,et al.  Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. , 1989, Journal of neurophysiology.

[148]  G. Edelman Neural Darwinism: The Theory Of Neuronal Group Selection , 1989 .

[149]  W. Singer,et al.  Temporal Coding in the Brain , 1994, Research and Perspectives in Neurosciences.

[150]  Craig A. Kaplan,et al.  Foundations of cognitive science , 1989 .

[151]  J. Fuster The Prefrontal Cortex , 1997 .

[152]  J. Fodor,et al.  Connectionism and the problem of systematicity: Why Smolensky's solution doesn't work , 1990, Cognition.

[153]  Eric Chown,et al.  Tracing Recurrent Activity in Cognitive Elements (TRACE): a Model of Temporal Dynamics in a Cell Assembly , 1991 .

[154]  David T. J. Liley,et al.  Simulation of electrocortical waves , 1995, Biological Cybernetics.

[155]  N. Weinberger,et al.  Acetylcholine produces stimulus-specific receptive field alterations in cat auditory cortex , 1989, Brain Research.

[156]  Stephen A. Ritz,et al.  Distinctive features, categorical perception, and probability learning: some applications of a neural model , 1977 .

[157]  E. Gardner,et al.  Maximum Storage Capacity in Neural Networks , 1987 .

[158]  Stephen Grossberg,et al.  Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..

[159]  K. Stratford,et al.  Synaptic transmission between individual pyramidal neurons of the rat visual cortex in vitro , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[160]  Davide Badoni,et al.  Electronic implementation of an analogue attractor neural network with stochastic learning , 1995 .

[161]  Y. Miyashita,et al.  Neural organization for the long-term memory of paired associates , 1991, Nature.

[162]  J. Fuster Inferotemporal units in selective visual attention and short-term memory. , 1990, Journal of neurophysiology.

[163]  G. J. Dalenoort Towards a general theory of representation , 1990 .

[164]  Nicolas Brunel,et al.  Learning internal representations in an attractor neural network with analogue neurons , 1995 .

[165]  H. Daido,et al.  Intrinsic fluctuations and a phase transition in a class of large populations of interacting oscillators , 1990 .

[166]  Sompolinsky,et al.  Spin-glass models of neural networks. , 1985, Physical review. A, General physics.

[167]  K. Hoffmann,et al.  Motion perception during saccades , 1993, Vision Research.

[168]  Masahiko Morita,et al.  Associative memory with nonmonotone dynamics , 1993, Neural Networks.

[169]  J. Rauschecker,et al.  Auditory compensation for early blindness in cat cerebral cortex , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[170]  J. Fulton,et al.  PHYSIOLOGY OF THE NERVOUS SYSTEM. , 1939, Science.

[171]  P. Hilton,et al.  Structural stability, the theory of catastrophes, and applications in the sciences : proceedings of the conference held at Battelle Seattle Research Center, 1975 , 1976 .

[172]  Daniel J. Amit,et al.  E ective neurons and attractor neural networks in cortical environment , 1992 .

[173]  Y. Miyashita,et al.  Neuronal correlate of pictorial short-term memory in the primate temporal cortexYasushi Miyashita , 1988, Nature.

[174]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[175]  H. Reichenbach,et al.  The Direction of Time , 1959 .

[176]  W. Freeman,et al.  Pattern analysis of cortical evoked potential parameters during attention changes , 1969 .

[177]  R. Desimone,et al.  A neural mechanism for working and recognition memory in inferior temporal cortex. , 1991, Science.

[178]  J. Fuster Memory in the cerebral cortex : an empirical approach to neural networks in the human and nonhuman primate , 1996 .

[179]  T. Bever,et al.  The relation between linguistic structure and associative theories of language learning—A constructive critique of some connectionist learning models , 1988, Cognition.

[180]  J. Fuster,et al.  Inferotemporal neurons distinguish and retain behaviorally relevant features of visual stimuli. , 1981, Science.

[181]  Bruce Bridgeman,et al.  A theory of visual stability across saccadic eye movements , 1994, Behavioral and Brain Sciences.