Chapter 18 Theory of synaptic plasticity

[1]  A. Khinchin.  Mathematical foundations of statistical mechanics , 1949 .

[2]  A. W. Liley,et al.  An electrical investigation of effects of repetitive stimulation on mammalian neuromuscular junction. , 1953, Journal of neurophysiology.

[3]  B. Gnedenko,et al.  Limit Distributions for Sums of Independent Random Variables , 1955 .

[4]  Richard Bellman,et al.  Introduction to Matrix Analysis , 1972 .

[5]  E. Merzbacher.  Quantum mechanics , 1961 .

[6]  C. Caramanis.  What is ergodic theory , 1963 .

[7]  J. Hale.  Oscillations in Nonlinear Systems , 1963 .

[8]  Boris Gnedenko,et al.  Theory of Probability , 1963 .

[9]  I. V. Prokhorov.  Probability theory , 1969 .

[10]  D. Scott,et al.  Central limit theorems for martingales and for processes with stationary increments using a Skorokhod representation approach , 1973, Advances in Applied Probability.

[11]  K L Magleby,et al.  A quantitative description of tetanic and post‐tetanic potentiation of transmitter release at the frog neuromuscular junction. , 1975, The Journal of physiology.

[12]  R. Ash,et al.  Real analysis and probability , 1975 .

[13]  R. Ash,et al.  Topics in stochastic processes , 1975 .

[14]  T. Sejnowski.  Statistical constraints on synaptic plasticity. , 1977, Journal of theoretical biology.

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

[16]  J. Hobson,et al.  The brain as a dream state generator: an activation-synthesis hypothesis of the dream process. , 1977, The American journal of psychiatry.

[17]  Henri Korn,et al.  Neurobiology of the Mauthner cell , 1978 .

[18]  G. Shepherd.  The Synaptic Organization of the Brain , 1979 .

[19]  N. Etemadi.  An elementary proof of the strong law of large numbers , 1981 .

[20]  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.

[21]  Francis Crick,et al.  The function of dream sleep , 1983, Nature.

[22]  J. J. Hopfield,et al.  ‘Unlearning’ has a stabilizing effect in collective memories , 1983, Nature.

[23]  B. Hille.  Ionic channels of excitable membranes , 2001 .

[24]  Sompolinsky,et al.  Storing infinite numbers of patterns in a spin-glass model of neural networks. , 1985, Physical review letters.

[25]  F. Verhulst,et al.  Averaging Methods in Nonlinear Dynamical Systems , 1985 .

[26]  M. Alexander,et al.  Principles of Neural Science , 1981 .

[27]  R Linsker,et al.  From basic network principles to neural architecture: emergence of spatial-opponent cells. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[28]  D. Amit,et al.  Statistical mechanics of neural networks near saturation , 1987 .

[29]  Jane Cronin,et al.  Mathematical aspects of Hodgkin–Huxley neural theory: Mathematical theory , 1987 .

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

[31]  D. O. Hebb,et al.  The organization of behavior , 1988 .

[32]  J. Hemmen,et al.  The Hebb rule: storing static and dynamic objects in an associative neural network , 1988 .

[33]  Henry C. Tuckwell,et al.  Introduction to theoretical neurobiology , 1988 .

[34]  F. Verhulst.  Nonlinear Differential Equations and Dynamical Systems , 1989 .

[35]  R. Zucker.  Short-term synaptic plasticity. , 1989 .

[36]  Terrence J. Sejnowski,et al.  The Hebb Rule for Synaptic Plasticity: Algorithms and Implementations , 1989 .

[37]  Wulfram Gerstner,et al.  Encoding and Decoding of Patterns which are Correlated in Space and Time , 1990, ÖGAI.

[38]  William H. Press,et al.  Numerical recipes , 1990 .

[39]  Georg Dorffner,et al.  Konnektionismus in Artificial Intelligence und Kognitionsforschung. Proceedings 6. Österreichische Artificial Intelligence-Tagung (KONNAI), Salzburg, Österreich, 18. bis 21. September 1990 , 1990, Austrian Conference on Artificial Intelligence.

[40]  D. Mackay,et al.  Analysis of Linsker's application of Hebbian rules to linear networks , 1990 .

[41]  R. Durrett.  Probability: Theory and Examples , 1993 .

[42]  M. Konishi,et al.  A circuit for detection of interaural time differences in the brain stem of the barn owl , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[43]  Donald L. Snyder,et al.  Random Point Processes in Time and Space , 1991 .

[44]  J. Leo van Hemmen,et al.  Collective phenomena in neural networks , 1991 .

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

[46]  J. Hale,et al.  Dynamics and Bifurcations , 1991 .

[47]  Leonard K. Kaczmarek,et al.  The Neuron: Cell and Molecular Biology , 1991 .

[48]  H. Sullivan.  Ionic Channels of Excitable Membranes, 2nd Ed. , 1992, Neurology.

[49]  Wulfram Gerstner,et al.  Associative memory in a network of ‘spiking’ neurons , 1992 .

[50]  Hisato Kondoh,et al.  Transition of localization of the N-Myc protein from nucleus to cytoplasm in differentiating neurons , 1993, Neuron.

[51]  Catherine E. Carr,et al.  Processing of Temporal Information in the Brain , 1993 .

[52]  W. Gerstner,et al.  Coherence and incoherence in a globally coupled ensemble of pulse-emitting units. , 1993, Physical review letters.

[53]  M Konishi,et al.  Listening with two ears. , 1993, Scientific American.

[54]  G Christofi,et al.  The postsynaptic induction of nonassociative long-term depression of excitatory synaptic transmission in rat hippocampal slices. , 1993, Journal of neurophysiology.

[55]  E. R. Kandel,et al.  Synaptic transmission: A bidirectional and self-modifiable form of cell-cell communication , 1993, Cell.

[56]  J Rennie.  David's victory. Gene causing "bubble boy" illness is finally found. , 1993, Scientific American.

[57]  Kenneth D. Miller,et al.  The Role of Constraints in Hebbian Learning , 1994, Neural Computation.

[58]  G. Barrionuevo,et al.  Induction of Hebbian and Non-Hebbian Mossy Fiber Long-Term Potentiation by Distinct Patterns of High-Frequency Stimulation , 1996, The Journal of Neuroscience.

[59]  Wulfram Gerstner,et al.  A neuronal learning rule for sub-millisecond temporal coding , 1996, Nature.

[60]  Wulfram Gerstner,et al.  What Matters in Neuronal Locking? , 1996, Neural Computation.

[61]  H. Markram,et al.  Redistribution of synaptic efficacy between neocortical pyramidal neurons , 1996, Nature.

[62]  Henri Korn,et al.  Escape behavior — brainstem and spinal cord circuitry and function , 1996, Current Opinion in Neurobiology.

[63]  C. Stevens,et al.  Heterogeneity of Release Probability, Facilitation, and Depletion at Central Synapses , 1997, Neuron.

[64]  L. Abbott,et al.  Synaptic Depression and Cortical Gain Control , 1997, Science.

[65]  C. Stevens,et al.  Very short-term plasticity in hippocampal synapses. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[66]  H. Markram,et al.  The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[67]  J. L. van Hemmen,et al.  Hebbian learning, its correlation catastrophe, and unlearning , 1997 .

[68]  Wulfram Gerstner,et al.  Reduction of the Hodgkin-Huxley Equations to a Single-Variable Threshold Model , 1997, Neural Computation.

[69]  N. Spruston,et al.  Action potential initiation and backpropagation in neurons of the mammalian CNS , 1997, Trends in Neurosciences.

[70]  H. Markram,et al.  Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997, Science.

[71]  L Delpuech,et al.  Models of Neural Networks, Deuxième édition, E Domany, JL van Hemmen, K Schulten. Springer Verlag, Marseille (1995) , 1997 .

[72]  G. M. Shepherd,et al.  Centenary of the synapse: from Sherrington to the molecular biology of the synapse and beyond , 1997, Trends in Neurosciences.

[73]  H Korn,et al.  The effects of geometrical parameters on synaptic transmission: a Monte Carlo simulation study. , 1997, Biophysical journal.

[74]  L. Abbott,et al.  A Quantitative Description of Short-Term Plasticity at Excitatory Synapses in Layer 2/3 of Rat Primary Visual Cortex , 1997, The Journal of Neuroscience.

[75]  D. Faber,et al.  Central synapses : quantal mechanisms and plasticity , 1998 .

[76]  D. Buonomano,et al.  Cortical plasticity: from synapses to maps. , 1998, Annual review of neuroscience.

[77]  Christof Koch,et al.  Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) , 1998 .

[78]  Wulfram Gerstner,et al.  Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input , 1998, Neural Computation.

[79]  James P. Keener,et al.  Mathematical physiology , 1998 .

[80]  M. Poo,et al.  Retrograde signaling in the development and modification of synapses. , 1998, Physiological reviews.

[81]  Li I. Zhang,et al.  A critical window for cooperation and competition among developing retinotectal synapses , 1998, Nature.

[82]  Idan Segev,et al.  Reading Neuronal Synchrony with Depressing Synapses , 1998, Neural Computation.

[83]  G. Bi,et al.  Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type , 1998, The Journal of Neuroscience.

[84]  D. Debanne,et al.  Long‐term synaptic plasticity between pairs of individual CA3 pyramidal cells in rat hippocampal slice cultures , 1998, The Journal of physiology.

[85]  R. Kempter,et al.  Hebbian learning and spiking neurons , 1999 .

[86]  D. Linden.  The Return of the Spike Postsynaptic Action Potentials and the Induction of LTP and LTD , 1999, Neuron.

[87]  Y. Ben-Ari,et al.  Mechanisms of Induction and Expression of Long-Term Depression at GABAergic Synapses in the Neonatal Rat Hippocampus , 1999, The Journal of Neuroscience.

[88]  M. Heerema,et al.  Derivation of Hebb's rule , 1999 .

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

[90]  C. Stevens,et al.  Response of Hippocampal Synapses to Natural Stimulation Patterns , 1999, Neuron.

[91]  J. Leo van Hemmen,et al.  Short-Term Synaptic Plasticity and Network Behavior , 1999, Neural Computation.

[92]  F. Engert,et al.  Dendritic spine changes associated with hippocampal long-term synaptic plasticity , 1999, Nature.

[93]  Michael J. O'Donovan,et al.  Modeling of Spontaneous Activity in Developing Spinal Cord Using Activity-Dependent Depression in an Excitatory Network , 2000, The Journal of Neuroscience.

[94]  J. White,et al.  Channel noise in neurons , 2000, Trends in Neurosciences.

[95]  D V Buonomano,et al.  Decoding Temporal Information: A Model Based on Short-Term Synaptic Plasticity , 2000, The Journal of Neuroscience.

[96]  J. Leo van Hemmen,et al.  Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials , 2000, Neural Computation.

[97]  Henry Markram,et al.  An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing , 2001, Neural Computation.