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| Research article summary (published 27 Feb 2003): |
Simple-cell-like receptive fields maximize temporal coherence in natural video.
Full Abstract
Recently, statistical models of natural images have shown the emergence of several properties of the visual cortex. Most models have considered the nongaussian properties of static image patches, leading to sparse coding or independent component analysis. Here we consider the basic time dependencies of image sequences instead of their nongaussianity. We show that simple-cell-type receptive fields emerge when temporal response strength correlation is maximized for natural image sequences. Thus, temporal response strength correlation, which is a nonlinear measure of temporal coherence, provides an alternative to sparseness in modeling simple-cell receptive field properties. Our results also suggest an interpretation of simple cells in terms of invariant coding principles, which have previously been used to explain complex-cell receptive fields.
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Author information
Author/s: Hurri, Jarmo (J); Hyvärinen, Aapo (A);
Affiliation: Neural Networks Research Centre, Helsinki University of Technology, 02015 HUT, Finland. jarmo.hurri(-atsign-)hut.fi
Journal and publication information
Publication Type: Journal Article
Journal: Neural computation (Neural Comput), published in United States. (Language: eng)
Reference: 2003-Mar; vol 15 (issue 3) : pp 663-91
Dates: Created 2003/03/06; Completed 2003/04/02; Revised 2004/11/17;
PMID: 12620162, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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