Predictive information in a sensory population

Stephanie E. Palmer, Olivier Marre, Michael J. Berry, William Bialek

Research output: Contribution to journalArticle

64 Scopus citations

Abstract

Guiding behavior requires the brain to make predictions about the future values of sensory inputs. Here, we show that efficient predictive 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.

Original languageEnglish (US)
Pages (from-to)6908-6913
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume112
Issue number22
DOIs
StatePublished - Jun 2 2015

All Science Journal Classification (ASJC) codes

  • General

Keywords

  • Information theory
  • Neural coding
  • Retina

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