Coding of the contrasts in natural images by populations of neurons in primary visual cortex (V1)

PL Clatworthy, M Chirimuuta, JS Lauritzen, DJ Tolhurst

Research output: Contribution to journalArticle (Academic Journal)peer-review

40 Citations (Scopus)

Abstract

It is possible to discriminate between grating contrasts over a 300-fold contrast range, whereas V1 neurons have very limited dynamic ranges. Using populations of model neurons with contrast-response parameters taken from electrophysiological studies (cat and macaque), we investigated ways of combining responses to code contrast over the full range. One model implemented a pooling rule that retained information about individual response patterns. The second summed responses indiscriminately. We measured accuracy of contrast identification over a wide range of contrasts and found the first model to be more accurate; the mutual information between actual and estimated contrast was also greatest for this model. The accuracy peak for the population of cat neurons coincided with the peak of the distribution of contrasts in natural images, suggesting an ecological match. Macaque neurons seem better able to code contrasts that are slightly higher on average than those found in the natural environment.
Translated title of the contributionCoding of the contrasts in natural images by populations of neurons in primary visual cortex (V1)
Original languageEnglish
Pages (from-to)1983 - 2001
JournalVision Research
Volume43
DOIs
Publication statusPublished - 2003

Bibliographical note

Title of Publication Reviewed: Coding of the contrasts in natural images by populations of neurons in primary visual cortex (V1)
Author of Publication Reviewed: Clatworthy PL, Chirimuuta M, Lauritzen JS, Tolhurst DJ

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