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  Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images

Sinz, F., & Bethge, M. (2013). Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. PLoS Computational Biology, 9(1), 1-13. doi:10.1371/journal.pcbi.1002889.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-49DB-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-49DC-6
Genre: Journal Article

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 Creators:
Sinz, Fabian1, Author              
Bethge, Matthias1, Author              
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1Department for Neuroethology, University Tübingen, ou_persistent22              

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 Abstract: Divisive normalization in primary visual cortex has been linked to adaptation to natural image statistics in accordance to Barlow's redundancy reduction hypothesis. Using recent advances in natural image modeling, we show that the previously studied static model of divisive normalization is rather inefficient in reducing local contrast correlations, but that a simple temporal contrast adaptation mechanism of the half-saturation constant can substantially increase its efficiency. Our findings reveal the experimentally observed temporal dynamics of divisive normalization to be critical for redundancy reduction.

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 Dates: 2013-01
 Publication Status: Published in print
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 Identifiers: DOI: 10.1371/journal.pcbi.1002889
eDoc: e1002889
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Title: PLoS Computational Biology
Source Genre: Journal
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Pages: - Volume / Issue: 9 (1) Sequence Number: - Start / End Page: 1 - 13 Identifier: -