| Cortical pooling algorithms for judging global motion direction. | |
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MedLine Citation:
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PMID: 17360678 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Physiological studies suggest that decision networks read from the neural representation in the middle temporal area to determine the perceived direction of visual motion, whereas psychophysical studies tend to characterize motion perception in terms of the statistical properties of stimuli. To reconcile these different approaches, we examined whether estimating the central tendency of the physical direction of global motion was a better indicator of perceived direction than algorithms (e.g., maximum likelihood) that read from directionally tuned mechanisms near the end of the motion pathway. The task of human observers was to discriminate the global direction of random dot kinematograms composed of asymmetrical distributions of local directions with distinct measures of central tendency. None of the statistical measures of image direction central tendency provided consistently accurate predictions of perceived global motion direction. However, regardless of the local composition of motion directions, a maximum-likelihood decoder produced global motion estimates commensurate with the psychophysical data. Our results suggest that mechanism-based, read-out algorithms offer a more accurate and robust guide to human motion perception than any stimulus-based, statistical estimate of central tendency. |
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Authors:
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Ben S Webb; Timothy Ledgeway; Paul V McGraw |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't Date: 2007-02-20 |
Journal Detail:
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Title: Proceedings of the National Academy of Sciences of the United States of America Volume: 104 ISSN: 0027-8424 ISO Abbreviation: Proc. Natl. Acad. Sci. U.S.A. Publication Date: 2007 Feb |
Date Detail:
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Created Date: 2007-03-15 Completed Date: 2007-06-13 Revised Date: 2009-11-18 |
Medline Journal Info:
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Nlm Unique ID: 7505876 Medline TA: Proc Natl Acad Sci U S A Country: United States |
Other Details:
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Languages: eng Pagination: 3532-7 Citation Subset: IM |
Affiliation:
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Visual Neuroscience Group, School of Psychology, University Park, University of Nottingham, Nottingham NG7 2RD, United Kingdom. bsw@psychology.nottingham.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Algorithms* Computer Simulation Humans Likelihood Functions Models, Neurological* Motion Perception / physiology* Photic Stimulation Visual Cortex / physiology* |
| Grant Support | |
ID/Acronym/Agency:
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//Wellcome Trust |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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