Homeostasis and Learning through Spike-Timing Dependent Plasticity
暂无分享,去创建一个
[1] T. Sejnowski,et al. Storing covariance with nonlinearly interacting neurons , 1977, Journal of mathematical biology.
[2] E. Oja. Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.
[3] 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.
[4] Teuvo Kohonen,et al. Self-Organization and Associative Memory , 1988 .
[5] D. O. Hebb,et al. The organization of behavior , 1988 .
[6] Terrence J. Sejnowski,et al. The Hebb Rule for Synaptic Plasticity: Algorithms and Implementations , 1989 .
[7] S. Grossberg,et al. The Adaptive Brain , 1990 .
[8] Kenneth D. Miller,et al. The Role of Constraints in Hebbian Learning , 1994, Neural Computation.
[9] Wulfram Gerstner,et al. A neuronal learning rule for sub-millisecond temporal coding , 1996, Nature.
[10] L. F. Abbott,et al. A Model of Spatial Map Formation in the Hippocampus of the Rat , 1999, Neural Computation.
[11] K. I. Blum,et al. Functional significance of long-term potentiation for sequence learning and prediction. , 1996, Cerebral cortex.
[12] L. Abbott,et al. Synaptic Depression and Cortical Gain Control , 1997, Science.
[13] 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.
[14] R. Kempter,et al. Hebbian learning and spiking neurons , 1999 .
[15] M. Quirk,et al. Experience-Dependent Asymmetric Shape of Hippocampal Receptive Fields , 2000, Neuron.
[16] Davide Badoni,et al. Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation , 2000, Neural Computation.
[17] Mark C. W. van Rossum,et al. Stable Hebbian Learning from Spike Timing-Dependent Plasticity , 2000, The Journal of Neuroscience.
[18] L. Abbott,et al. Synaptic plasticity: taming the beast , 2000, Nature Neuroscience.
[19] L. Abbott,et al. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity , 2000, Nature Neuroscience.
[20] J. Magee,et al. Somatic EPSP amplitude is independent of synapse location in hippocampal pyramidal neurons , 2000, Nature Neuroscience.
[21] J. Leo van Hemmen,et al. Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials , 2000, Neural Computation.
[22] Idan Segev,et al. Synaptic scaling in vitro and in vivo , 2001, Nature Neuroscience.
[23] Henry Markram,et al. An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing , 2001, Neural Computation.
[24] Daniel D. Lee,et al. Equilibrium properties of temporally asymmetric Hebbian plasticity. , 2000, Physical review letters.
[25] Wulfram Gerstner,et al. Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning , 2001, Neural Computation.
[26] Rajesh P. N. Rao,et al. Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning , 2001, Neural Computation.
[27] G. Bi,et al. Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.
[28] Wulfram Gerstner,et al. Spiking Neuron Models , 2002 .
[29] K. Holthoff,et al. A problem with Hebb and local spikes , 2002, Trends in Neurosciences.
[30] Y. Dan,et al. Spike-timing-dependent synaptic modification induced by natural spike trains , 2002, Nature.
[31] Tomoki Fukai,et al. A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity , 2003, Neural Computation.
[32] P. J. Sjöström,et al. Neocortical LTD via Coincident Activation of Presynaptic NMDA and Cannabinoid Receptors , 2003, Neuron.
[33] Haim Sompolinsky,et al. Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity , 2003, The Journal of Neuroscience.
[34] Clifton C. Rumsey,et al. Equalization of synaptic efficacy by activity- and timing-dependent synaptic plasticity. , 2004, Journal of neurophysiology.
[35] Wulfram Gerstner,et al. Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells , 2004, Journal of Computational Neuroscience.
[36] Patrick D. Roberts,et al. Computational Consequences of Temporally Asymmetric Learning Rules: I. Differential Hebbian Learning , 1999, Journal of Computational Neuroscience.
[37] Patrick D. Roberts,et al. Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation , 2000, Journal of Computational Neuroscience.