Dynamic predictive coding by the retina

Toshihiko Hosoya, Stephen A. Baccus and Markus Meister ()
Additional contact information
Toshihiko Hosoya: Harvard University
Stephen A. Baccus: Harvard University
Markus Meister: Harvard University

Nature, 2005, vol. 436, issue 7047, 71-77

Abstract: Abstract Retinal ganglion cells convey the visual image from the eye to the brain. They generally encode local differences in space and changes in time rather than the raw image intensity. This can be seen as a strategy of predictive coding, adapted through evolution to the average image statistics of the natural environment. Yet animals encounter many environments with visual statistics different from the average scene. Here we show that when this happens, the retina adjusts its processing dynamically. The spatio-temporal receptive fields of retinal ganglion cells change after a few seconds in a new environment. The changes are adaptive, in that the new receptive field improves predictive coding under the new image statistics. We show that a network model with plastic synapses can account for the large variety of observed adaptations.

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.nature.com/articles/nature03689 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:436:y:2005:i:7047:d:10.1038_nature03689

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature03689

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().