» Articles » PMID: 15882648

Redundancy in the Population Code of the Retina

Overview
Journal Neuron
Publisher Cell Press
Specialty Neurology
Date 2005 May 11
PMID 15882648
Citations 104
Authors
Affiliations
Soon will be listed here.
Abstract

We have explored the manner in which the population of retinal ganglion cells collectively represent the visual world. Ganglion cells in the salamander were recorded simultaneously with a multielectrode array during stimulation with both artificial and natural visual stimuli, and the mutual information that single cells and pairs of cells conveyed about the stimulus was estimated. We found significant redundancy between cells spaced as far as 500 mum apart. When we used standard methods for defining functional types, only ON-type and OFF-type cells emerged as truly independent information channels. Although the average redundancy between nearby cell pairs was moderate, each ganglion cell shared information with many neighbors, so that visual information was represented approximately 10-fold within the ganglion cell population. This high degree of retinal redundancy suggests that design principles beyond coding efficiency may be important at the population level.

Citing Articles

Stimulus-invariant aspects of the retinal code drive discriminability of natural scenes.

Hoshal B, Holmes C, Bojanek K, Salisbury J, Berry 2nd M, Marre O Proc Natl Acad Sci U S A. 2024; 121(52):e2313676121.

PMID: 39700141 PMC: 11670243. DOI: 10.1073/pnas.2313676121.


Randomness as a driver of inactivity in social groups.

Bernadou A, Jeanson R PLoS Comput Biol. 2024; 20(12):e1012668.

PMID: 39689059 PMC: 11651616. DOI: 10.1371/journal.pcbi.1012668.


Quantitative analyses of how optimally heterogeneous neural codes maximize neural information in jittery transmission environments.

Roh H, Kim S, Lee H, Im M Sci Rep. 2024; 14(1):29623.

PMID: 39609587 PMC: 11604997. DOI: 10.1038/s41598-024-81029-2.


Nonlinear receptive fields evoke redundant retinal coding of natural scenes.

Karamanlis D, Khani M, Schreyer H, Zapp S, Mietsch M, Gollisch T Nature. 2024; 637(8045):394-401.

PMID: 39567692 PMC: 11711096. DOI: 10.1038/s41586-024-08212-3.


Transitioning from global to local computational strategies during brain-machine interface learning.

Bridges N, Stickle M, Moxon K Front Neurosci. 2024; 18:1371107.

PMID: 38707591 PMC: 11066153. DOI: 10.3389/fnins.2024.1371107.