Information processing with population codes

[1]  Stefan Treue,et al.  Seeing multiple directions of motion—physiology and psychophysics , 2000, Nature Neuroscience.

[2]  Terrence J. Sejnowski,et al.  Learning Overcomplete Representations , 2000, Neural Computation.

[3]  Alexander Borst,et al.  Information theory and neural coding , 1999, Nature Neuroscience.

[4]  T. Poggio,et al.  Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.

[5]  W. Bair.  Spike timing in the mammalian visual system , 1999, Current Opinion in Neurobiology.

[6]  A. Pouget,et al.  Reading population codes: a neural implementation of ideal observers , 1999, Nature Neuroscience.

[7]  R. Reid,et al.  Synchronous activity in the visual system. , 1999, Annual review of physiology.

[8]  Alexandre Pouget,et al.  Narrow vs Wide Tuning Curves: What's Best for a Population Code? , 1999, Neural Comput..

[9]  Peter E. Latham,et al.  Narrow Versus Wide Tuning Curves: What's Best for a Population Code? , 1999, Neural Computation.

[10]  B L McNaughton,et al.  Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. , 1998, Journal of neurophysiology.

[11]  Alexandre Pouget,et al.  Probabilistic Interpretation of Population Codes , 1996, Neural Computation.

[12]  Christopher M. Bishop,et al.  GTM: The Generative Topographic Mapping , 1998, Neural Computation.

[13]  R. Wurtz,et al.  Responses of MT and MST neurons to one and two moving objects in the receptive field. , 1997, Journal of neurophysiology.

[14]  L. Abbott,et al.  Invariant visual responses from attentional gain fields. , 1997, Journal of neurophysiology.

[15]  T. Sejnowski,et al.  Spatial Transformations in the Parietal Cortex Using Basis Functions , 1997, Journal of Cognitive Neuroscience.

[16]  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.

[17]  T. Sanger,et al.  Probability density estimation for the interpretation of neural population codes. , 1996, Journal of neurophysiology.

[18]  Frans A. J. Verstraten,et al.  Responses of Complex Cells in Area 17 of the Cat to Bi-vectorial Transparent Motion , 1996, Vision Research.

[19]  David J. Field,et al.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[20]  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.

[21]  S. Squatrito,et al.  Gaze field properties of eye position neurones in areas MST and 7a of the macaque monkey , 1996, Visual Neuroscience.

[22]  J. Movshon,et al.  A computational analysis of the relationship between neuronal and behavioral responses to visual motion , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[23]  L F Abbott,et al.  Transfer of coded information from sensory to motor networks , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[24]  Jacek M. Zurada,et al.  Computational Intelligence: Imitating Life , 1994 .

[25]  T. Sejnowski,et al.  A neural model of the cortical representation of egocentric distance. , 1994, Cerebral cortex.

[26]  T. Brennen.  Processing the facial image , 1994 .

[27]  James M. Bower,et al.  Computation and Neural Systems , 2014, Springer US.

[28]  H Sompolinsky,et al.  Simple models for reading neuronal population codes. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[29]  P. Földiák,et al.  The ‘Ideal Homunculus’: Statistical Inference from Neural Population Responses , 1993 .

[30]  Paul B. Johnson,et al.  Visuomotor transformations underlying arm movements toward visual targets: a neural network model of cerebral cortical operations , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[31]  Edward H. Adelson,et al.  Probability distributions of optical flow , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[32]  Alexandre Pouget,et al.  Connectionist Models of Orientation Identification , 1991 .

[33]  T. Poggio.  A theory of how the brain might work. , 1990, Cold Spring Harbor symposia on quantitative biology.

[34]  T. Poggio,et al.  A network that learns to recognize three-dimensional objects , 1990, Nature.

[35]  Michael I. Jordan,et al.  Advances in Neural Information Processing Systems 30 , 1995 .

[36]  Scott N. J. Watamaniuk,et al.  Direction Perception in Complex Dynamic Displays: the Integration of Dir~~tion Information , 1988 .

[37]  Richard A. Andersen,et al.  A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons , 1988, Nature.

[38]  A. J. Mistlin,et al.  Visual neurones responsive to faces , 1987, Trends in Neurosciences.

[39]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[40]  R. M. Siegel,et al.  Encoding of spatial location by posterior parietal neurons. , 1985, Science.

[41]  D. Regan,et al.  Postadaptation orientation discrimination. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[42]  J. Movshon,et al.  The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.

[43]  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.

[44]  Gerald S. Rogers,et al.  Mathematical Statistics: A Decision Theoretic Approach , 1967 .

[45]  M. Kendall.  Theoretical Statistics , 1956, Nature.