The Hebbian paradigm reintegrated: Local reverberations as internal representations

Abstract Recurrent excitation is experimentally well documented in cortical populations. It provides for intracortical excitatory biases that linearize negative feedback interactions and induce macroscopic state transitions during perception. The concept of the local neighborhood should be expanded to spatial patterns as the basis for perception, in which large areas of cortex are bound into cooperative behavior with near-silent columns as important as active columns revealed by unit recording.

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

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

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

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

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

[6]  W. Freeman,et al.  EEG Spatial Pattern Differences with Discriminated Odors Manifest Chaotic and Limit Cycle Attractors in Olfactory Bulb of Rabbits , 1986 .

[7]  K. Uchikawa,et al.  Saccadic suppression of achromatic and chromatic responses measured by increment-threshold spectral sensitivity. , 1995, Journal of the Optical Society of America. A, Optics, image science, and vision.

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

[9]  S. Sajami,et al.  Representation and reality , 1993 .

[10]  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.

[11]  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.

[12]  Peter C. M. Molenaar,et al.  On the Validity of Simulating Stagewise Development by Means of PDP Networks: Application of Catastrophe Analysis and an Experimental Test of Rule-Like Network Performance , 1996, Cogn. Sci..

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

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

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

[16]  H. Loess,et al.  Reversal and nonreversal shifts in concept formation using consistent and inconsistent responses. , 1968, Journal of Experimental Psychology.

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

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

[19]  Zenon W. Pylyshyn,et al.  Connectionism and cognitive architecture , 1993 .

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

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

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

[23]  F. Campbell,et al.  Saccadic omission: Why we do not see a grey-out during a saccadic eye movement , 1978, Vision Research.

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

[25]  B. Baird,et al.  Relation of Olfactory EEG to Behavior: Spatial Analysis , 1987 .

[26]  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.

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

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

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

[30]  G. Palm Neural Assemblies , 1982, Studies of Brain Function.

[31]  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.

[32]  M L BARR Brain modelling. , 1946, University of Western Ontario medical journal.

[33]  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.

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

[35]  Anders Lansner,et al.  Improving the Realism of Attractor Models By using Cortical Columns as Functional Units , 1995 .

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

[38]  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.

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

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

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

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

[43]  S. Chipman The Remembered Present: A Biological Theory of Consciousness , 1990, Journal of Cognitive Neuroscience.

[44]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

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

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

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

[48]  J. Locke An Essay concerning Human Understanding , 1924, Nature.

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

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

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

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

[53]  Keiji Tanaka Inferotemporal cortex and higher visual functions , 1992, Current Opinion in Neurobiology.

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

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

[56]  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.

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

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

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

[60]  P. Nguyen,et al.  Physiological Properties of Crustacean Motor Neurons and the Alteration of These Properties , 1990 .

[61]  Bruno Cessac,et al.  Destabilization and Route to Chaos in Neural Networks with Random Connectivity , 1992, NIPS.

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

[63]  Zenon W. Pylyshyn,et al.  Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.

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

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

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

[67]  Stephen Grossberg Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987 .

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

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

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

[71]  J Szentagothai,et al.  [Neuronal circuits of the cerebral cortex]. , 1970, Bulletin de l'Academie royale de medecine de Belgique.

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

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

[74]  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.

[75]  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 .

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

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

[78]  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.

[79]  W. Freeman,et al.  Chaotic Oscillations and the Genesis of Meaning in Cerebral Cortex , 1994 .

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

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

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

[83]  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.

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

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

[86]  F. Takens Detecting strange attractors in turbulence , 1981 .

[87]  Daniel J Amittt Effective neurons and attractor neural networks in cortical environment , 1992 .

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

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

[90]  D. L. Hintzman Twenty-five years of learning and memory: was the cognitive revolution a mistake? , 1993 .

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

[92]  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.

[93]  O. Penrose The Direction of Time , 1962 .

[94]  Anders Lansner,et al.  Low Spiking Rates in a Network with Overlapping Assemblies , 1995 .

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

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

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

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

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

[100]  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.

[101]  Stephan Korner Realism in mathematics , 1991 .

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

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

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

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

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

[107]  Joos Vandewalle,et al.  Dynamic properties of neural networks , 1989 .

[108]  Ashok K. Agrawala,et al.  Study of Network Dynamics , 1993, Comput. Networks ISDN Syst..

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

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

[111]  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.

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

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

[114]  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.

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

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

[117]  M. A. Virasoro,et al.  THE COMPUTATIONAL ROLE OF CONSCIOUS PROCESSING IN A MODEL OF SEMANTIC MEMORY , 1997 .

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

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

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

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

[122]  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.

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

[124]  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.

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

[126]  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).

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

[128]  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.

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

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

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

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

[133]  Terrence J. Sejnowski,et al.  Processing of Visual and Auditory Space and Its Modification by Experience , 1993, NIPS.

[134]  J AmitDaniel,et al.  Learning in neural networks with material synapses , 1994 .

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

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

[137]  J F Fulton,et al.  Physiology of the Nervous System , 1939, Science.

[138]  E. Bienenstock A model of neocortex , 1995 .

[139]  Nicolas Brunel,et al.  Global Spontaneous Activity and Local Structured (learned) Delay Activity in Cortex , 1995 .

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

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

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

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

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

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

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

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

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

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

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

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

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

[153]  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.

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

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

[156]  Jane S. Paulsen Memory in the Cerebral Cortex: An Empirical Approach to Neural Networks in the Human and Nonhuman Primate , 1996 .

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

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

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

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

[161]  Hayne W. Reese Rules and rule-governance: Cognitive and behavioristic views. , 1989 .

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

[163]  Hans Liljenström,et al.  A model of cortical associative memory based on Hebbian cell assemblies , 1994 .

[164]  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.

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

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

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

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

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

[170]  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.

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

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

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

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

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

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

[177]  T. M. Mayhew,et al.  Anatomy of the Cortex: Statistics and Geometry. , 1991 .

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

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

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

[181]  Haim Sompolinsky,et al.  The Theory of Neural Networks: The Hebb Rule and Beyond , 1987 .

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

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

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

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

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

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

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

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

[190]  Alan Pickering,et al.  Conditioning and learning , 1997 .

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

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

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

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

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

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

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

[198]  R. F. Thompson,et al.  The search for the engram. , 1976, The American psychologist.

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

[200]  W. Kessen A Textbook of Psychology , 1958, The Yale Journal of Biology and Medicine.

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

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

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

[205]  Jean,et al.  The Computer and the Brain , 1989, Annals of the History of Computing.

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

[207]  P. Bailey,et al.  Organization of the cerebral cortex. , 1948, The Proceedings of the Institute of Medicine of Chicago.

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

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

[210]  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.

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

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

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

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