Beyond the retina neural coding: On models and neural rehabilitation

[1]  Tim Gollisch,et al.  Rapid Neural Coding in the Retina with Relative Spike Latencies , 2008, Science.

[2]  T. Sejnowski,et al.  23 problems in systems neuroscience , 2006 .

[3]  R. W. Rodieck Maintained activity of cat retinal ganglion cells. , 1967, Journal of neurophysiology.

[4]  H. B. Barlow,et al.  Possible Principles Underlying the Transformations of Sensory Messages , 2012 .

[5]  Bruno Cessac,et al.  Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina , 2013 .

[6]  Michael J. Berry,et al.  Detection and prediction of periodic patterns by the retina , 2007, Nature Neuroscience.

[7]  J. Rabin The Retina: An Approachable Part of the Brain , 2013 .

[8]  F. Varela,et al.  Ways of coloring: Comparative color vision as a case study for cognitive science , 1992, Behavioral and Brain Sciences.

[9]  D. Mastronarde Correlated firing of cat retinal ganglion cells. I. Spontaneously active inputs to X- and Y-cells. , 1983, Journal of neurophysiology.

[10]  F. Attneave Some informational aspects of visual perception. , 1954, Psychological review.

[11]  G. Michael A three-layer model of natural image statistics , 2010 .

[12]  B. Cessac,et al.  Spike train statistics and Gibbs distributions , 2013, Journal of Physiology-Paris.

[13]  Paul R. Martin,et al.  The unsolved mystery of vision , 2007, Current Biology.

[14]  Aapo Hyvärinen,et al.  A three-layer model of natural image statistics , 2013, Journal of Physiology-Paris.

[15]  Mehdi Khamassi,et al.  Modelling the learning of biomechanics and visual planning for decision-making of motor actions , 2013, Journal of Physiology-Paris.

[16]  D. Mastronarde Interactions between ganglion cells in cat retina. , 1983, Journal of neurophysiology.

[17]  W. Geisler Visual perception and the statistical properties of natural scenes. , 2008, Annual review of psychology.

[18]  David D. Cox,et al.  Untangling invariant object recognition , 2007, Trends in Cognitive Sciences.

[19]  Joseph J Atick,et al.  Could information theory provide an ecological theory of sensory processing? , 2011, Network.

[20]  Thomas Serre,et al.  A feedforward architecture accounts for rapid categorization , 2007, Proceedings of the National Academy of Sciences.

[21]  Ryad Benosman,et al.  Neural stimulation for visual rehabilitation: Advances and challenges , 2013, Journal of Physiology-Paris.

[22]  Eero P. Simoncelli,et al.  Natural image statistics and neural representation. , 2001, Annual review of neuroscience.

[23]  Michael J. Berry,et al.  Recording spikes from a large fraction of the ganglion cells in a retinal patch , 2004, Nature Neuroscience.

[24]  Guillaume S. Masson,et al.  Motion-based prediction explains the role of tracking in motion extrapolation , 2013, Journal of Physiology-Paris.

[25]  Eero P. Simoncelli,et al.  Spatio-temporal correlations and visual signalling in a complete neuronal population , 2008, Nature.

[26]  A. Pouget,et al.  Neural correlations, population coding and computation , 2006, Nature Reviews Neuroscience.

[27]  R. Masland The fundamental plan of the retina , 2001, Nature Neuroscience.

[28]  D. Field,et al.  Natural image statistics and efficient coding. , 1996, Network.

[29]  R. Masland Neuronal diversity in the retina , 2001, Current Opinion in Neurobiology.

[30]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[31]  T. Shibasaki,et al.  Retinal ganglion cells act largely as independent encoders , 2001 .

[32]  Patricio Orio,et al.  Mathematical analysis and modeling of motion direction selectivity in the retina , 2013, Journal of Physiology-Paris.

[33]  Michael J. Berry,et al.  Gibbs distribution analysis of temporal correlations structure in retina ganglion cells , 2011, Journal of Physiology - Paris.

[34]  D. Mastronarde Correlated firing of cat retinal ganglion cells. II. Responses of X- and Y-cells to single quantal events. , 1983, Journal of neurophysiology.