| Direction opponency, not quadrature, is key to the 1/4 cycle preference for apparent motion in the motion energy model. | |
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MedLine Citation:
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PMID: 20739550 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Sensitivity to visual motion is a fundamental property of neurons in the visual cortex and has received wide attention in terms of mathematical models. A key feature of many popular models for cortical motion sensors is the use of pairs of functions that are related by a 90 degrees phase shift. This phase relationship, known as quadrature, is the hallmark of the motion energy model and played an important role in the development of a class of model dubbed elaborated Reichardt detectors. For decades, the literature has supported a link between quadrature and the observation that motion detectors and human observers often prefer a 1/4 cycle displacement of an apparent motion stimulus that consists of a pair of sinusoidal gratings. We show that there is essentially no link between quadrature and this preference. Quadrature is neither necessary nor sufficient for a motion sensor to prefer 1/4 cycle displacement, and motion energy is not maximized for a 1/4 cycle step. Other properties of motion sensors are the key: the opponent subtraction of two oppositely tuned stages that individually have sinusoidal displacement tuning curves. Thus, psychophysical and neurophysiological data revealing a preference at or near 1/4 cycle displacement do not offer specific support for common quadrature or energy-based motion models. Instead, they point to a broader class of model. |
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Authors:
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Nicolas Heess; Wyeth Bair |
Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: The Journal of neuroscience : the official journal of the Society for Neuroscience Volume: 30 ISSN: 1529-2401 ISO Abbreviation: J. Neurosci. Publication Date: 2010 Aug |
Date Detail:
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Created Date: 2010-08-26 Completed Date: 2010-09-16 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8102140 Medline TA: J Neurosci Country: United States |
Other Details:
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Languages: eng Pagination: 11300-4 Citation Subset: IM |
Affiliation:
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Neuroinformatics and Computational Neuroscience Doctoral Training Centre, Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, United Kingdom. n.m.o.heess@sms.ed.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Attention*
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physiology Energy Transfer* / physiology Models, Biological* Motion Perception* / physiology Photic Stimulation / methods* Visual Cortex / physiology |
| Grant Support | |
ID/Acronym/Agency:
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//Medical Research Council; //Wellcome Trust |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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