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  Probability matching as a computational strategy used in perception

Wozny, D., Beierholm, U., & Shams, L. (2010). Probability matching as a computational strategy used in perception. PLoS Computational Biology, 6(8): e1000871. doi:10.1371/journal.pcbi.1000871.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-D223-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-E60F-2
Genre: Journal Article

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Probability Matching as a Computational Strategy Used in Perception.pdf (Postprint), 443KB
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 Creators:
Wozny, David1, 2, Author           
Beierholm, Ulrik3, Author
Shams, Ladan2, 4, Author
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2 Biomedical Engineering IDP, University of California Los Angeles, CA, USA, ou_persistent22              
3Gatsby Computational Neuroscience Unit, University College London, United Kingdom, ou_persistent22              
4Department of Psychology, University of California Los Angeles, CA, USA, ou_persistent22              

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 Dates: 2010
 Publication Status: Published online
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 Rev. Type: -
 Identifiers: eDoc: 512156
Other: P11610
DOI: 10.1371/journal.pcbi.1000871
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 6 (8) Sequence Number: e1000871 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1