Predictive information in a sensory population.

TitlePredictive information in a sensory population.
Publication TypeJournal Article
Year of Publication2015
AuthorsPalmer, SE, Marre, O, Berry, MJ, Bialek, W
JournalProc Natl Acad Sci U S A
Volume112
Issue22
Pagination6908-13
Date Published2015 Jun 2
ISSN1091-6490
KeywordsAnticipation, Psychological, Humans, Information Theory, Models, Neurological, Neurons, Retina, Thinking, Vision, Ocular
Abstract

<p>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.</p>

DOI10.1073/pnas.1506855112
Alternate JournalProc. Natl. Acad. Sci. U.S.A.
PubMed ID26038544
PubMed Central IDPMC4460449
Grant ListEY-014196 / EY / NEI NIH HHS / United States