Hebbian Cell Assemblies

A Hebbian cell assembly is defined as a collective dynamic activity process reverberating in a closed set of recurrent connections, which are part of a larger association network. Keywords: synapse; spike-timing-dependent plasticity; association; synchrony; phase sequence; causality; temporal correlation; graph matching

[1]  Merav Ahissar,et al.  Hebbian-like functional plasticity in the auditory cortex of the behaving monkey , 1998, Neuropharmacology.

[2]  L. Abbott,et al.  Synaptic plasticity: taming the beast , 2000, Nature Neuroscience.

[3]  P. Milner.  A model for visual shape recognition. , 1974, Psychological review.

[4]  Aplysia: Hebbian or not? , 1986, Trends in Neurosciences.

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

[6]  Y. Frégnac,et al.  A cellular analogue of visual cortical plasticity , 1988, Nature.

[7]  E. W. Kairiss,et al.  Hebbian synapses: biophysical mechanisms and algorithms. , 1990, Annual review of neuroscience.

[8]  D. Amit.  The Hebbian paradigm reintegrated: Local reverberations as internal representations , 1995, Behavioral and Brain Sciences.

[9]  M. W. Brown,et al.  An experimental test of the role of postsynaptic calcium levels in determining synaptic strength using perirhinal cortex of rat , 2001, The Journal of physiology.

[10]  C. Kappers,et al.  ON STRUCTURAL LAWS IN THE NERVOUS SYSTEM: THE PRINCIPLES OF NEUROBIOTAXIS , 1921 .

[11]  G. Stent.  A physiological mechanism for Hebb's postulate of learning. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[12]  J. Fodor,et al.  Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.

[13]  I. Biederman,et al.  Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.

[14]  G. Bi,et al.  Distributed synaptic modification in neural networks induced by patterned stimulation , 1999, Nature.

[15]  Professor Moshe Abeles,et al.  Local Cortical Circuits , 1982, Studies of Brain Function.

[16]  L. Shastri,et al.  From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony , 1993, Behavioral and Brain Sciences.

[17]  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.

[18]  A Aertsen,et al.  Propagation of synchronous spiking activity in feedforward neural networks , 1996, Journal of Physiology-Paris.

[19]  Y. Ben-Ari,et al.  GABA: an excitatory transmitter in early postnatal life , 1991, Trends in Neurosciences.

[20]  K. Oka,et al.  Long-term transformation of an inhibitory into an excitatory GABAergic synaptic response. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[21]  E. Bienenstock,et al.  Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[22]  C. Sahley.  Co-activation, cell assemblies and learning , 1985, Trends in Neurosciences.

[23]  Peter Dayan,et al.  Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down , 1990, Neural Computation.

[24]  Elie Bienenstock,et al.  A neural network for invariant pattern recognition. , 1987 .

[25]  B J Richmond,et al.  Stochastic nature of precisely timed spike patterns in visual system neuronal responses. , 1999, Journal of neurophysiology.

[26]  U. Frey,et al.  Synaptic tagging and long-term potentiation , 1997, Nature.

[27]  J. Lisman,et al.  A mechanism for the Hebb and the anti-Hebb processes underlying learning and memory. , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[28]  A. Aertsen,et al.  Dynamics of neuronal interactions in monkey cortex in relation to behavioural events , 1995, Nature.

[29]  M. Ahissar,et al.  Dependence of cortical plasticity on correlated activity of single neurons and on behavioral context. , 1992, Science.

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

[31]  G. Bi,et al.  Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.

[32]  L. Cooper,et al.  A theory for the development of feature detecting cells in visual cortex , 1975, Biological Cybernetics.

[33]  W. Singer,et al.  Different voltage-dependent thresholds for inducing long-term depression and long-term potentiation in slices of rat visual cortex , 1990, Nature.