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• W2076244024 startingPage "e1002889" @default.
• W2076244024 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." @default.
• W2076244024 created "2016-06-24" @default.
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• W2076244024 creator A5061457780 @default.
• W2076244024 date "2013-01-31" @default.
• W2076244024 modified "2023-09-26" @default.
• W2076244024 title "Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images" @default.
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• W2076244024 doi "https://doi.org/10.1371/journal.pcbi.1002889" @default.
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