Learning in realistic networks of spiking neurons and spike‐driven plastic synapses
暂无分享,去创建一个
Sandro Romani | Gianluigi Mongillo | Daniel J Amit | Emanuele Curti | D. Amit | S. Romani | G. Mongillo | E. Curti
[1] N Brunel,et al. Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. , 1998, Network.
[2] D. Amit,et al. Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network , 2003, The European journal of neuroscience.
[3] Y. Miyashita. Neuronal correlate of visual associative long-term memory in the primate temporal cortex , 1988, Nature.
[4] Nicolas Brunel,et al. Dynamics and plasticity of stimulus-selective persistent activity in cortical network models. , 2003, Cerebral cortex.
[5] Robert M. Kozelka,et al. Introductory Probability and Statistical Applications. , 1966 .
[6] Misha Tsodyks,et al. Computation by Ensemble Synchronization in Recurrent Networks with Synaptic Depression , 2002, Journal of Computational Neuroscience.
[7] Davide Badoni,et al. Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation , 2000, Neural Computation.
[8] E. Miller,et al. Effects of Visual Experience on the Representation of Objects in the Prefrontal Cortex , 2000, Neuron.
[9] X. Wang,et al. Synaptic Basis of Cortical Persistent Activity: the Importance of NMDA Receptors to Working Memory , 1999, The Journal of Neuroscience.
[10] O. Andreassen,et al. Mice Deficient in Cellular Glutathione Peroxidase Show Increased Vulnerability to Malonate, 3-Nitropropionic Acid, and 1-Methyl-4-Phenyl-1,2,5,6-Tetrahydropyridine , 2000, The Journal of Neuroscience.
[11] Daniel J. Amit,et al. Spike-Driven Synaptic Dynamics Generating Working Memory States , 2003, Neural Computation.
[12] Paolo Del Giudice,et al. Long and short-term synaptic plasticity and the formation of working memory: A case study , 2001, Neurocomputing.
[13] Daniel J. Amit,et al. Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories , 2004, Neural Computation.
[14] D. Amit,et al. Learning attractors in an asynchronous, stochastic electronic neural network. , 1998, Network.
[15] 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.
[16] G. E. Alexander,et al. Neuron Activity Related to Short-Term Memory , 1971, Science.
[17] Henry Markram,et al. Neural Networks with Dynamic Synapses , 1998, Neural Computation.
[18] Paolo Del Giudice,et al. Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses , 2000, Neural Computation.
[19] D J Amit,et al. Multiple-object working memory--a model for behavioral performance. , 2003, Cerebral cortex.
[20] Paul L. Meyer,et al. Introductory Probability and Statistical Applications , 1970 .
[21] R. Desimone,et al. Responses of Macaque Perirhinal Neurons during and after Visual Stimulus Association Learning , 1999, The Journal of Neuroscience.
[22] Nicolas Brunel,et al. Dynamics of an attractor neural network converting temporal into spatial correlations Network: Compu , 1994 .
[23] H. Tamura,et al. Visual response properties of cells in the ventral and dorsal parts of the macaque inferotemporal cortex. , 2001, Cerebral cortex.
[24] Nicolas Brunel,et al. Dynamics of a recurrent network of spiking neurons before and following learning , 1997 .
[25] P. Goldman-Rakic,et al. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. , 2000, Cerebral cortex.
[26] Ichiro Fujita,et al. Presumed inhibitory neurons in the macaque inferior temporal cortex: visual response properties and functional interactions with adjacent neurons. , 2004, Journal of neurophysiology.
[27] Daniel J. Amit,et al. Simulation in neurobiology: theory or experiment? , 1998, Trends in Neurosciences.
[28] H. Markram,et al. t Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses , 2000, The Journal of Neuroscience.
[29] Abbreviations , 1971 .
[30] Y. Miyashita,et al. Neuronal correlate of pictorial short-term memory in the primate temporal cortexYasushi Miyashita , 1988, Nature.
[31] Y. Miyashita,et al. Activity of primate inferotemporal neurons related to a sought target in pair-association task. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[32] 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.
[33] Daniel J. Amit,et al. Paradigmatic Working Memory (Attractor) Cell in IT Cortex , 1997, Neural Computation.
[34] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[35] D. Amit,et al. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. , 1997, Cerebral cortex.
[36] K. Nakamura,et al. Mnemonic firing of neurons in the monkey temporal pole during a visual recognition memory task. , 1995, Journal of neurophysiology.
[37] Vittorio Dante,et al. Learning attractors in an asynchronous, stochastic electronic neural network , 1998 .
[38] L. Squire,et al. Neuronal representations of stimulus associations develop in the temporal lobe during learning , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[39] K. H. Britten,et al. Neuronal plasticity that underlies improvement in perceptual performance. , 1994, Science.
[40] Yasushi Miyashita,et al. Forward Processing of Long-Term Associative Memory in Monkey Inferotemporal Cortex , 2003, The Journal of Neuroscience.
[41] W. Senn,et al. Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. , 2003, Journal of neurophysiology.
[42] Christian Hölscher,et al. Perirhinal cortex neuronal activity related to long‐term familiarity memory in the macaque , 2003, The European journal of neuroscience.
[43] Maurizio Mattia,et al. Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons , 1999, Neural Computation.
[44] P. Dayan. Fast oscillations in cortical circuits , 2000 .
[45] William R. Softky,et al. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.