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  A Bayesian view on multimodal cue integration

Ernst, M. (2006). A Bayesian view on multimodal cue integration. In G. Knoblich, M. Grosjean, I. Thornton, & M. Shiffrar (Eds.), Human body perception from the inside out (pp. 105-131). Oxford, UK: Oxford University Press.

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Ernst, MO1, 2, Author           
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1Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497797              

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 Abstract: We perceive our own body and the world surrounding us via multiple sources of sensory information derived from several modalities, including vision, touch and audition. To enable interactions with the environment this information has to converge into a coherent and unambiguous multimodal percept of the body and the world. But how does the brain come up with such a unique percept? In this chapter I review a model that in the statistical sense describes an optimal integration mechanism. The benefit of integrating sensory information comes from a reduction in variance of the final perceptual estimate. Furthermore, I point out how this integration scheme can be incorporated in a larger framework using Bayesian decision theory (BDT).

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 Dates: 2006
 Publication Status: Issued
 Pages: 448
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 Rev. Type: -
 Identifiers: ISBN: 0-19-517837-8
BibTex Citekey: 2918
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Title: Human body perception from the inside out
Source Genre: Book
 Creator(s):
Knoblich, G, Editor
Grosjean, M, Editor
Thornton, I1, Editor           
Shiffrar, M, Editor
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1 External Organizations, ou_persistent22            
Publ. Info: Oxford, UK : Oxford University Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 105 - 131 Identifier: ISBN: 0-19-517837-8

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Title: Advances in visual cognition
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