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The neural encoding of guesses in the human brain

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/persons/resource/persons19557

Bode,  Stefan
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Neurology, Otto-von-Guericke University, Leipziger Strasse 44, 39120 Magdeburg, Germany;
Psychological Sciences, The University of Melbourne, Redmond-Barry-Building, Parkville, 3010, Victoria, Australia;

/persons/resource/persons19558

Bogler,  Carsten
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Bernstein Center for Computational Neuroscience Berlin and Charité — Universitätsmedizin Berlin, Haus 6, Philippstrasse 13, 10115 Berlin, Germany;

/persons/resource/persons23548

Soon,  Chun Siong
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Bernstein Center for Computational Neuroscience Berlin and Charité — Universitätsmedizin Berlin, Haus 6, Philippstrasse 13, 10115 Berlin, Germany;
Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore 169857, Singapore;

/persons/resource/persons19699

Haynes,  John-Dylan
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Neurology, Otto-von-Guericke University, Leipziger Strasse 44, 39120 Magdeburg, Germany;
Bernstein Center for Computational Neuroscience Berlin and Charité — Universitätsmedizin Berlin, Haus 6, Philippstrasse 13, 10115 Berlin, Germany;
Graduate School of Mind and Brain, Humboldt Universität zu Berlin, Luisenstrasse 56, Haus 1, 10099 Berlin, Germany;

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-0275-9
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.