Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity

[1]  Shun-ichi Amari,et al.  Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements , 1972, IEEE Transactions on Computers.

[2]  F. Nottebohm,et al.  Central control of song in the canary, Serinus canarius , 1976, The Journal of comparative neurology.

[3]  F. Nottebohm,et al.  Connections of vocal control nuclei in the canary telencephalon , 1982, The Journal of comparative neurology.

[4]  A. Arnold,et al.  Forebrain lesions disrupt development but not maintenance of song in passerine birds. , 1984, Science.

[5]  T. Bliss,et al.  Heterosynaptic changes accompany long‐term but not short‐term potentiation of the perforant path in the anaesthetized rat. , 1985, The Journal of physiology.

[6]  H Sompolinsky,et al.  Associative neural network model for the generation of temporal patterns. Theory and application to central pattern generators. , 1988, Biophysical journal.

[7]  S Laroche,et al.  Heterosynaptic LTD and depotentiation in the medial perforant path of the dentate gyrus in the freely moving rat. , 1997, Journal of neurophysiology.

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

[9]  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.

[10]  J. Sanes,et al.  Development of the vertebrate neuromuscular junction. , 1999, Annual review of neuroscience.

[11]  J. Csicsvari,et al.  Replay and Time Compression of Recurring Spike Sequences in the Hippocampus , 1999, The Journal of Neuroscience.

[12]  A. Schwartz,et al.  Motor cortical activity during drawing movements: population representation during lemniscate tracing. , 1999, Journal of neurophysiology.

[13]  R. Mooney Different Subthreshold Mechanisms Underlie Song Selectivity in Identified HVc Neurons of the Zebra Finch , 2000, The Journal of Neuroscience.

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

[15]  M. Bear,et al.  Role for rapid dendritic protein synthesis in hippocampal mGluR-dependent long-term depression. , 2000, Science.

[16]  M. Wilson,et al.  Temporally Structured Replay of Awake Hippocampal Ensemble Activity during Rapid Eye Movement Sleep , 2001, Neuron.

[17]  J. Tanji Sequential organization of multiple movements: involvement of cortical motor areas. , 2001, Annual review of neuroscience.

[18]  Isaac Meilijson,et al.  Distributed synchrony in a cell assembly of spiking neurons , 2001, Neural Networks.

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

[20]  Terrence J. Sejnowski,et al.  Spike propagation synchronized by temporally asymmetric Hebbian learning , 2002, Biological Cybernetics.

[21]  K. D. Punta,et al.  An ultra-sparse code underlies the generation of neural sequences in a songbird , 2002 .

[22]  Thomas Nowotny,et al.  Spatial representation of temporal information through spike-timing-dependent plasticity. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Moshe Abeles,et al.  On Embedding Synfire Chains in a Balanced Network , 2003, Neural Computation.

[24]  L. Abbott,et al.  Model of song selectivity and sequence generation in area HVc of the songbird. , 2003, Journal of neurophysiology.

[25]  S. Royer,et al.  Conservation of total synaptic weight through balanced synaptic depression and potentiation , 2003, Nature.

[26]  Dean V Buonomano,et al.  Timing of neural responses in cortical organotypic slices , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Rajesh P. N. Rao,et al.  Self–organizing neural systems based on predictive learning , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[28]  Yuji Ikegaya,et al.  Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity , 2004, Science.

[29]  M. Bear,et al.  LTP and LTD An Embarrassment of Riches , 2004, Neuron.

[30]  R. Morris,et al.  Competing for Memory Hippocampal LTP under Regimes of Reduced Protein Synthesis , 2004, Neuron.

[31]  Richard Hans Robert Hahnloser,et al.  Neural Mechanisms of Vocal Sequence Generation in the Songbird , 2004, Annals of the New York Academy of Sciences.

[32]  Dean V Buonomano,et al.  A learning rule for the emergence of stable dynamics and timing in recurrent networks. , 2005, Journal of neurophysiology.

[33]  A. Graybiel,et al.  Activity of striatal neurons reflects dynamic encoding and recoding of procedural memories , 2005, Nature.

[34]  R. Mooney,et al.  The HVC Microcircuit: The Synaptic Basis for Interactions between Song Motor and Vocal Plasticity Pathways , 2005, The Journal of Neuroscience.

[35]  Tobias Bonhoeffer,et al.  Neuronal activity determines the protein synthesis dependence of long-term potentiation , 2006, Nature Neuroscience.

[36]  R. Andersen,et al.  Cognitive neural prosthetics. , 2010, Annual review of psychology.

[37]  Mengru Li,et al.  Stable propagation of a burst through a one-dimensional homogeneous excitatory chain model of songbird nucleus HVC. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  Christopher M. Glaze,et al.  Temporal Structure in Zebra Finch Song: Implications for Motor Coding , 2006, The Journal of Neuroscience.

[39]  Karel Svoboda,et al.  Locally dynamic synaptic learning rules in pyramidal neuron dendrites , 2007, Nature.

[40]  Richard H R Hahnloser,et al.  Sleep-related spike bursts in HVC are driven by the nucleus interface of the nidopallium. , 2007, Journal of neurophysiology.

[41]  Richard H. R. Hahnloser,et al.  Spike Correlations in a Songbird Agree with a Simple Markov Population Model , 2007, PLoS Comput. Biol..

[42]  Joseph K Jun,et al.  Development of Neural Circuitry for Precise Temporal Sequences through Spontaneous Activity, Axon Remodeling, and Synaptic Plasticity , 2007, PloS one.

[43]  Ohad Ben-Shahar,et al.  Stochastic Emergence of Repeating Cortical Motifs in Spontaneous Membrane Potential Fluctuations In Vivo , 2007, Neuron.

[44]  H. Sebastian Seung,et al.  Neural network models of birdsong production , learning , and coding , 2007 .

[45]  M. Fee,et al.  Singing-related activity of identified HVC neurons in the zebra finch. , 2007, Journal of neurophysiology.

[46]  G. Buzsáki,et al.  Sequential structure of neocortical spontaneous activity in vivo , 2007, Proceedings of the National Academy of Sciences.

[47]  H. Sebastian Seung,et al.  Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC , 2007, Journal of Computational Neuroscience.

[48]  Georg B. Keller,et al.  Rapid Interhemispheric Switching during Vocal Production in a Songbird , 2008, PLoS biology.

[49]  Asohan Amarasingham,et al.  Internally Generated Cell Assembly Sequences in the Rat Hippocampus , 2008, Science.

[50]  M. Fee,et al.  Using temperature to analyze temporal dynamics in the songbird motor pathway , 2008, Nature.

[51]  Nicolas Brunel,et al.  The Statistics of Repeating Patterns of Cortical Activity Can Be Reproduced by a Model Network of Stochastic Binary Neurons , 2008, The Journal of Neuroscience.

[52]  John M. Beggs,et al.  A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro , 2008, The Journal of Neuroscience.

[53]  Masahiko Watanabe,et al.  Translocation of a “Winner” Climbing Fiber to the Purkinje Cell Dendrite and Subsequent Elimination of “Losers” from the Soma in Developing Cerebellum , 2009, Neuron.

[54]  Matthew A. Wilson,et al.  Hippocampal Replay of Extended Experience , 2009, Neuron.

[55]  H. Sebastian Seung,et al.  Reading the Book of Memory: Sparse Sampling versus Dense Mapping of Connectomes , 2009, Neuron.

[56]  F. Pulvermüller,et al.  Spatiotemporal Signatures of Large-Scale Synfire Chains for Speech Processing as Revealed by MEG , 2008, Cerebral cortex.

[57]  Kristen M Harris,et al.  Coordination of size and number of excitatory and inhibitory synapses results in a balanced structural plasticity along mature hippocampal CA1 dendrites during LTP , 2011, Hippocampus.