Computing with Continuous Attractors: Stability and Online Aspects
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Si Wu | Shun-ichi Amari | S. Amari | Si Wu
[1] H. Sompolinsky,et al. Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 1996, Science.
[2] Tai Sing Lee,et al. Hierarchical Bayesian inference in the visual cortex. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[3] J. T. Massey,et al. Cognitive spatial-motor processes , 2004, Experimental Brain Research.
[4] Terrence J. Sejnowski,et al. ASSOCIATIVE MEMORY AND HIPPOCAMPAL PLACE CELLS , 1995 .
[5] A. Georgopoulos,et al. Cognitive neurophysiology of the motor cortex. , 1993, Science.
[6] Xiao-Jing Wang. Synaptic reverberation underlying mnemonic persistent activity , 2001, Trends in Neurosciences.
[7] Matthias Bethge,et al. Optimal Short-Term Population Coding: When Fisher Information Fails , 2002, Neural Computation.
[8] A P Georgopoulos,et al. On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[9] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[10] D. Mumford. On the computational architecture of the neocortex , 2004, Biological Cybernetics.
[11] Daniel D. Lee,et al. Stability of the Memory of Eye Position in a Recurrent Network of Conductance-Based Model Neurons , 2000, Neuron.
[12] Peter E. Latham,et al. Statistically Efficient Estimation Using Population Coding , 1998, Neural Computation.
[13] H S Seung,et al. How the brain keeps the eyes still. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[14] Rajesh P. N. Rao,et al. Probabilistic Models of the Brain: Perception and Neural Function , 2002 .
[15] B L McNaughton,et al. Dynamics of the hippocampal ensemble code for space. , 1993, Science.
[16] Xiao-Jing Wang,et al. A Model of Visuospatial Working Memory in Prefrontal Cortex: Recurrent Network and Cellular Bistability , 1998, Journal of Computational Neuroscience.
[17] Nicolas Brunel,et al. Mutual Information, Fisher Information, and Population Coding , 1998, Neural Computation.
[18] A. P. Georgopoulos,et al. Cognitive spatial-motor processes , 2004, Experimental Brain Research.
[19] H. Sompolinsky,et al. Theory of orientation tuning in visual cortex. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[20] Si Wu,et al. Sequential Bayesian Decoding with a Population of Neurons , 2003, Neural Computation.
[21] Thomas P. Trappenberg. Dynamic Cooperation and Competition in a Network of Spiking Neurons , 1998, ICONIP.
[22] D Mumford,et al. On the computational architecture of the neocortex. II. The role of cortico-cortical loops. , 1992, Biological cybernetics.
[23] T. Degrisa,et al. Rapid response of head direction cells to reorienting visual cues : a computational model , 2004 .
[24] J. Hopfield. Neurons withgraded response havecollective computational properties likethoseoftwo-state neurons , 1984 .
[25] A. Pouget,et al. Reading population codes: a neural implementation of ideal observers , 1999, Nature Neuroscience.
[26] Thomas P. Trappenberg,et al. Self-organizing continuous attractor networks and motor function , 2003, Neural Networks.
[27] E. Rolls,et al. Self-organizing continuous attractor networks and path integration: one-dimensional models of head direction cells. , 2002 .
[28] Leandro Nunes de Castro,et al. Recent Developments In Biologically Inspired Computing , 2004 .
[29] Ranulfo Romo,et al. Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations , 2003, Current Opinion in Neurobiology.
[30] J. Rubin,et al. Multiple-spike waves in a one-dimensional integrate-and-fire neural network , 2004, Journal of mathematical biology.
[31] B L McNaughton,et al. Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. , 1998, Journal of neurophysiology.
[32] A. Koulakov,et al. Model for a robust neural integrator , 2002, Nature Neuroscience.
[33] Si Wu,et al. Population Coding with Correlation and an Unfaithful Model , 2001, Neural Computation.
[34] S. Amari. Dynamics of pattern formation in lateral-inhibition type neural fields , 1977, Biological Cybernetics.
[35] Idan Segev,et al. Methods in neuronal modeling: From synapses to networks , 1989 .
[36] Thomas P. Trappenberg,et al. Continuous Attractor Neural Networks , 2005 .
[37] Peter E. Latham,et al. Narrow Versus Wide Tuning Curves: What's Best for a Population Code? , 1999, Neural Computation.
[38] Rajesh P. N. Rao. Bayesian Computation in Recurrent Neural Circuits , 2004, Neural Computation.
[39] H. Sompolinsky,et al. 13 Modeling Feature Selectivity in Local Cortical Circuits , 2022 .
[40] E. Rolls,et al. Self-organizing continuous attractor networks and path integration: one-dimensional models of head direction cells , 2002, Network.
[41] Roland J. Baddeley,et al. Information Theory and the Brain: Bibliography , 2000 .
[42] G. Bi,et al. Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.
[43] Alexandre Pouget,et al. Probabilistic Interpretation of Population Codes , 1996, Neural Computation.
[44] Terrence J. Sejnowski,et al. Neuronal Tuning: To Sharpen or Broaden? , 1999, Neural Computation.
[45] Boris S. Gutkin,et al. Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity , 2001, Journal of Computational Neuroscience.
[46] Henry Markram,et al. The "Liquid Computer": A Novel Strategy for Real-Time Computing on Time Series , 2002 .
[47] Peter J. B. Hancock,et al. Information Theory and the Brain , 2008 .
[48] Si Wu,et al. Population Coding and Decoding in a Neural Field: A Computational Study , 2002, Neural Computation.
[49] J. Taube. Head direction cells and the neurophysiological basis for a sense of direction , 1998, Progress in Neurobiology.
[50] D C Van Essen,et al. Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. , 1983, Journal of neurophysiology.
[51] K. Zhang,et al. Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.