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| Research article summary (published 24 Dec 2002): |
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Invariant representations of visual patterns in a temporal population code.
Full Abstract
Mammalian visual systems are characterized by their ability to recognize stimuli invariant to various transformations. Here, we investigate the hypothesis that this ability is achieved by the temporal encoding of visual stimuli. By using a model of a cortical network, we show that this encoding is invariant to several transformations and robust with respect to stimulus variability. Furthermore, we show that the proposed model provides a rapid encoding, in accordance with recent physiological results. Taking into account properties of primary visual cortex, the application of the encoding scheme to an enhanced network demonstrates favorable scaling and high performance in a task humans excel at.
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Author information
Author/s: Wyss, Reto (R); Konig, Peter (P); Verschure, Paul F M J (PF);
Affiliation: Institute of Neuroinformatics, University of Zürich and Swiss Federal Institute of Technology, Switzerland. rwyss(-atsign-)ini.unizh.ch
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Proceedings of the National Academy of Sciences of the United States of America (Proc Natl Acad Sci U S A), published in United States. (Language: eng)
Reference: 2003-Jan; vol 100 (issue 1) : pp 324-9
Dates: Created 2003/01/08; Completed 2003/02/21; Revised 2006/11/15;
PMID: 12502790, 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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