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pubmed-article:19699212pubmed:dateCreated2009-11-6lld:pubmed
pubmed-article:19699212pubmed:abstractTextWe explore mechanisms associated with collective animal motion by drawing on the neurobiological bases of sensory information processing and decision-making. The model uses simplified retinal processes to translate neighbor movement patterns into information through spatial signal integration and threshold responses. The structure provides a mechanism by which individuals can vary their sets of influential neighbors, a measure of an individual's sensory load. Sensory loads are correlated with group order and density, and we discuss their adaptive values in an ecological context. The model also provides a mechanism by which group members can identify, and rapidly respond to, novel visual stimuli.lld:pubmed
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pubmed-article:19699212pubmed:authorpubmed-author:AndersonJ JJJlld:pubmed
pubmed-article:19699212pubmed:authorpubmed-author:GoodwinR ARAlld:pubmed
pubmed-article:19699212pubmed:authorpubmed-author:LemassonB HBHlld:pubmed
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pubmed-article:19699212pubmed:volume261lld:pubmed
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pubmed-article:19699212pubmed:pagination501-10lld:pubmed
pubmed-article:19699212pubmed:dateRevised2010-11-18lld:pubmed
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pubmed-article:19699212pubmed:year2009lld:pubmed
pubmed-article:19699212pubmed:articleTitleCollective motion in animal groups from a neurobiological perspective: the adaptive benefits of dynamic sensory loads and selective attention.lld:pubmed
pubmed-article:19699212pubmed:affiliationUniversity of Washington, School of Aquatic and Fishery Sciences, Box 358218, Seattle, WA 98195-8218, USA. lemasson@u.washington.edulld:pubmed
pubmed-article:19699212pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:19699212pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed