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  The neural encoding of guesses in the human brain

Bode, S., Bogler, C., Soon, C. S., & Haynes, J.-D. (2012). The neural encoding of guesses in the human brain. NeuroImage, 59(2), 1924-1931. doi:10.1016/j.neuroimage.2011.08.106.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-0275-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-B01A-9
Genre: Journal Article

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Bode_2012_Neural.pdf (Publisher version), 767KB
 
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 Creators:
Bode, Stefan1, 2, 3, Author              
Bogler, Carsten1, 4, Author              
Soon, Chun Siong1, 4, 5, Author              
Haynes, John-Dylan1, 2, 4, 6, Author              
Affiliations:
1Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634553              
2Department of Neurology, Otto-von-Guericke University, Leipziger Strasse 44, 39120 Magdeburg, Germany, ou_persistent22              
3Psychological Sciences, The University of Melbourne, Redmond-Barry-Building, Parkville, 3010, Victoria, Australia, ou_persistent22              
4Bernstein Center for Computational Neuroscience Berlin and Charité — Universitätsmedizin Berlin, Haus 6, Philippstrasse 13, 10115 Berlin, Germany, ou_persistent22              
5Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore 169857, Singapore, ou_persistent22              
6Graduate School of Mind and Brain, Humboldt Universität zu Berlin, Luisenstrasse 56, Haus 1, 10099 Berlin, Germany, ou_persistent22              

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Free keywords: Decision making; Free decisions; Guessing; Multivariate decoding; Precuneus
 Abstract: Human perception depends heavily on the quality of sensory information. When objects are hard to see we often believe ourselves to be purely guessing. Here we investigated whether such guesses use brain networks involved in perceptual decision making or independent networks. We used a combination of fMRI and pattern classification to test how visibility affects the signals, which determine choices. We found that decisions regarding clearly visible objects are predicted by signals in sensory brain regions, whereas different regions in parietal cortex became predictive when subjects were shown invisible objects and believed themselves to be purely guessing. This parietal network was highly overlapping with regions, which have previously been shown to encode free decisions. Thus, the brain might use a dedicated network for determining choices when insufficient sensory information is available.

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Language(s): eng - English
 Dates: 2011-08-052011-06-222011-08-312011-09-092012-01-16
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2011.08.106
PMID: 21933719
Other: Epub 2011
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 59 (2) Sequence Number: - Start / End Page: 1924 - 1931 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166