Document Detail

Oscillatory binocular system and temporal segmentation of stereoscopic depth surfaces.
MedLine Citation:
PMID:  8476979     Owner:  NLM     Status:  MEDLINE    
A dynamical neural network model of binocular stereopsis is proposed to solve the problem of segmentation which remains ambiguous even when the problem of binocular correspondence is solved. Being compatible with the recent neurophysiological findings (Engel et al. 1991), the model assumes that neural cells show oscillatory activities and that segmentation into a coherent depth surface is coded by synchronization of activities. Employing appropriate constraints for segmentation, the present model shows proper segmentation of depth surfaces and also solves segmentational ambiguity caused by a gap. It is newly shown that binocularly-unmatched monocular cells are discriminated in temporal segmentation of monocular cells caused by recurrent interactions between monocular and binocular cells. Integrative interactions with the other visual components through temporal segmentation are also discussed.
T Murata; H Shimizu
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Biological cybernetics     Volume:  68     ISSN:  0340-1200     ISO Abbreviation:  Biol Cybern     Publication Date:  1993  
Date Detail:
Created Date:  1993-05-27     Completed Date:  1993-05-27     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7502533     Medline TA:  Biol Cybern     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  381-91     Citation Subset:  IM; S    
Faculty of Pharmaceutical Sciences, University of Tokyo, Japan.
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MeSH Terms
Computer Simulation
Depth Perception / physiology*
Models, Neurological
Nerve Net / physiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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