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  What Is the Limit of Redundancy Reduction with Divisive Normalization?

Sinz, F., & Bethge, M. (2013). What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Computation, 25(11), 2809-2814. doi:10.1162/NECO_a_00505.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-001A-12D6-A Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3D9B-D
Genre: Journal Article

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Sinz, F, Author              
Bethge, M1, Author              
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1Werner Reichardt Centre for Integrative Neuroscience, ou_persistent22              

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 Abstract: Divisive normalization has been proposed as a nonlinear redundancy reduction mechanism capturing contrast correlations. Its basic function is a radial rescaling of the population response. Because of the saturation of divisive normalization, however, it is impossible to achieve a fully independent representation. In this letter, we derive an analytical upper bound on the inevitable residual redundancy of any saturating radial rescaling mechanism.

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 Dates: 2013-11
 Publication Status: Published in print
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 Identifiers: DOI: 10.1162/NECO_a_00505
BibTex Citekey: SinzB2013
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Title: Neural Computation
Source Genre: Journal
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Pages: - Volume / Issue: 25 (11) Sequence Number: - Start / End Page: 2809 - 2814 Identifier: -