| Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception. | |
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MedLine Citation:
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PMID: 12662572 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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A neural architecture is proposed that serves as a framework for further empirical as well as theoretical investigations for a unified theory for contrast and brightness perception. The work further extends the brightness perception model developed by Grossberg and Todorovic. The proposed new computational architecture utilizes a (retinal) preprocessing stage with center-surround antagonisms of both polarities. The preprocessed data are shown to multiplex contrast as well as luminance information that can be de-multiplexed subsequently using a scheme of cross-channel interaction. Based on a hypothesized luminance-related channel, a three-stage process is suggested for brightness reconstruction. The separate channel for the representation of luminance-related information provides a key mechanism to assign the reconstructed brightness to an absolute reference level. The architecture provides a framework for the analysis of processes in brightness perception. Copyright 1996 Elsevier Science Ltd. |
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Authors:
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Heiko Neumann |
Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Neural networks : the official journal of the International Neural Network Society Volume: 9 ISSN: 1879-2782 ISO Abbreviation: Neural Netw Publication Date: 1996 Aug |
Date Detail:
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Created Date: 2003-Mar-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: - |
Other Details:
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Languages: ENG Pagination: 921-936 Citation Subset: - |
Affiliation:
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Universität Ulm, D-89069 Ulm, Germany |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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