Estimating distributed coding efficiently in orthogonal models of facial processing

Title: Estimating distributed coding efficiently in orthogonal models of facial processing
Creator: Watters, Paul
Date: 2003
Type: Text; Journal article
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34855
Identifier: vital:3154
Identifier: ISSN:0219-6352
Abstract: Orthogonal facial processing models attempt to mimic the local decomposition performed in the visual cortex by simple cell receptive fields. The purpose of this study was to investigate how the neurophysiological validity of orthogonal models of facial processing could be improved by implementing a "whitening" filter, based on current knowledge of similar filtering that occurs in the retina. By using a metric known as the "distributed coding efficiency index" (DCE), this study demonstrates that an orthogonal facial processing model significantly increased coding efficiency when a low-pass, zero-phase whitening filter was applied. The extent to which orthogonal decomposition of filtered data represents a realistic V1 model is discussed. [ABSTRACT FROM AUTHOR]
Publisher: World Scientific Publishing Company
Relation: Journal of Integrative Neuroscience Vol. 2, no. 2 (2003), p. 249-262
Rights: Copyright World Scientific Publishing Company
Rights: This metadata is freely available under a CCO license
Subject: 1109 Neurosciences; 1702 Cognitive Science; Facial processing; Filtering; Principal components analysis
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