Document Detail


A model for the spatial integration and differentiation of velocity signals.
MedLine Citation:
PMID:  8917795     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present a model of optic flow processing which is able to reconcile the integrative, cooperative phenomena of motion capture and coherence with the differentiation of velocity signals in motion segmentation and transparency. The model uses a Markov random field to compute the behaviour of coextensive topographic neural maps of retinotopy and velocity. We have used the model to simulate the psychophysics of motion coherence, motion capture and transparency. Further, it exhibits motion segmentation without extra postulates. The model is robust and able to display all types of motion percept with the same parameter set.
Authors:
K N Gurney; M J Wright
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Vision research     Volume:  36     ISSN:  0042-6989     ISO Abbreviation:  Vision Res.     Publication Date:  1996 Sep 
Date Detail:
Created Date:  1996-12-11     Completed Date:  1996-12-11     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0417402     Medline TA:  Vision Res     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  2939-55     Citation Subset:  IM; S    
Affiliation:
Department of Human Sciences, Brunel University, Uxbridge, Middlesex, UK.
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MeSH Terms
Descriptor/Qualifier:
Humans
Mathematics
Models, Neurological*
Motion Perception / physiology*
Pattern Recognition, Visual / physiology
Psychophysics

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


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