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Predictive information in a sensory population

Author(s): Palmer, Stephanie E; Marre, Olivier; Berry II, Michael J; Bialek, William

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Abstract: Guiding behavior requires the brain to make predictions about the future values of sensory inputs. Here, we show that efficient pre- dictive computation starts at the earliest stages of the visual system. We compute how much information groups of retinal ganglion cells carry about the future state of their visual inputs and show that nearly every cell in the retina participates in a group of cells for which this predictive information is close to the physical limit set by the statistical structure of the inputs themselves. Groups of cells in the retina carry information about the future state of their own activity, and we show that this information can be compressed further and encoded by downstream predictor neurons that exhibit feature selectivity that would support predictive computations. Efficient representation of predictive information is a candidate principle that can be applied at each stage of neural computation.
Publication Date: 2-Jun-2015
Electronic Publication Date: 18-May-2015
Citation: Palmer, Stephanie E, Marre, Olivier, Berry, Michael J, Bialek, William. (2015). Predictive information in a sensory population. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 112 (6908 - 6913. doi:10.1073/pnas.1506855112
DOI: doi:10.1073/pnas.1506855112
ISSN: 0027-8424
Pages: 6908 - 6913
Type of Material: Journal Article
Journal/Proceeding Title: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Version: Author's manuscript



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