Coding and learning of behavioral sequences
暂无分享,去创建一个
[1] J. O'Keefe,et al. The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. , 1971, Brain research.
[2] B. Kosco. Differential Hebbian learning , 1987 .
[3] Moshe Abeles,et al. Corticonics: Neural Circuits of Cerebral Cortex , 1991 .
[4] J. O’Keefe,et al. Phase relationship between hippocampal place units and the EEG theta rhythm , 1993, Hippocampus.
[5] J. Deuchars,et al. Temporal and spatial properties of local circuits in neocortex , 1994, Trends in Neurosciences.
[6] J. J. Hopfield,et al. Pattern recognition computation using action potential timing for stimulus representation , 1995, Nature.
[7] B. McNaughton,et al. Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model , 1998, Hippocampus.
[8] J. Lisman,et al. Hippocampal CA3 region predicts memory sequences: accounting for the phase precession of place cells. , 1996, Learning & memory.
[9] B. McNaughton,et al. Theta phase precession in hippocampal neuronal populations and the compression of temporal sequences , 1996, Hippocampus.
[10] O Jensen,et al. Theta/gamma networks with slow NMDA channels learn sequences and encode episodic memory: role of NMDA channels in recall. , 1996, Learning & memory.
[11] K. I. Blum,et al. Functional significance of long-term potentiation for sequence learning and prediction. , 1996, Cerebral cortex.
[12] C. Moorehead. All rights reserved , 1997 .
[13] M. Hasselmo,et al. GABAergic modulation of hippocampal population activity: sequence learning, place field development, and the phase precession effect. , 1997, Journal of neurophysiology.
[14] H. Markram,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997, Science.
[15] D. Johnston,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997 .
[16] B. McNaughton,et al. Experience-dependent, asymmetric expansion of hippocampal place fields. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[17] H. Markram,et al. Differential signaling via the same axon of neocortical pyramidal neurons. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[18] Li I. Zhang,et al. A critical window for cooperation and competition among developing retinotectal synapses , 1998, Nature.
[19] Dean V. Buonomano,et al. A Neural Network Model of Temporal Code Generation and Position-Invariant Pattern Recognition , 1999, Neural Computation.
[20] G Buzsáki,et al. Sustained activation of hippocampal pyramidal cells by ‘space clamping’ in a running wheel , 1999, The European journal of neuroscience.
[21] M. Quirk,et al. Experience-Dependent Asymmetric Shape of Hippocampal Receptive Fields , 2000, Neuron.
[22] J L van Hemmen,et al. Time window control: a model for cerebellar function based on synchronization, reverberation, and time slicing. , 2000, Progress in brain research.
[23] H. Markram,et al. Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. , 2000, Science.
[24] Arne D. Ekstrom,et al. NMDA Receptor Antagonism Blocks Experience-Dependent Expansion of Hippocampal “Place Fields” , 2001, Neuron.
[25] Carl van Vreeswijk,et al. Patterns of Synchrony in Neural Networks with Spike Adaptation , 2001, Neural Computation.
[26] M. Mehta. Neuronal Dynamics of Predictive Coding , 2001, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[27] J. Magee. Dendritic mechanisms of phase precession in hippocampal CA1 pyramidal neurons. , 2001, Journal of neurophysiology.
[28] G. Bi,et al. Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.
[29] G. Buzsáki,et al. Spike train dynamics predicts theta-related phase precession in hippocampal pyramidal cells , 2002, Nature.
[30] Henry Markram,et al. Spike frequency adaptation and neocortical rhythms. , 2002, Journal of neurophysiology.
[31] Y. Dan,et al. Temporal Specificity in the Cortical Plasticity of Visual Space Representation , 2002, Science.
[32] K. D. Punta,et al. An ultra-sparse code underlies the generation of neural sequences in a songbird , 2002 .
[33] Moshe Abeles,et al. Synfire chain in a balanced network , 2002, Neurocomputing.
[34] Florian Engert,et al. Moving visual stimuli rapidly induce direction sensitivity of developing tectal neurons , 2002, Nature.
[35] Jozsef Csicsvari,et al. Homeostatic maintenance of neuronal excitability by burst discharges in vivo. , 2002, Cerebral cortex.
[36] M. R. Mehta,et al. Role of experience and oscillations in transforming a rate code into a temporal code , 2002, Nature.
[37] Richard Hans Robert Hahnloser,et al. An ultra-sparse code underliesthe generation of neural sequences in a songbird , 2002, Nature.
[38] Henry Markram,et al. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.
[39] G. Spirou,et al. Optimizing Synaptic Architecture and Efficiency for High-Frequency Transmission , 2002, Neuron.
[40] Wulfram Gerstner,et al. Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells , 2004, Journal of Computational Neuroscience.
[41] Wulfram Gerstner,et al. Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns , 1993, Biological Cybernetics.
[42] Patrick D. Roberts,et al. Computational Consequences of Temporally Asymmetric Learning Rules: I. Differential Hebbian Learning , 1999, Journal of Computational Neuroscience.
[43] Michael Recce,et al. A Temporal Mechanism for Generating the Phase Precession of Hippocampal Place Cells , 2000, Journal of Computational Neuroscience.
[44] Patrick D. Roberts,et al. Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation , 2000, Journal of Computational Neuroscience.