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Doubly Bayesian analysis of confidence in perceptual decision-making

Abstract:

Humans stand out from other animals in that they are able to explicitly report on the reliability of their internal operations. This ability, which is known as metacognition, is typically studied by asking people to report their confidence in the correctness of some decision. However, the computations underlying confidence reports remain unclear. In this paper, we present a fully Bayesian method for directly comparing models of confidence. Using a visual two-interval forced-choice task, we te...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pcbi.1004519

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
11
Issue:
10
Article number:
e1004519
Publication date:
2015-10-01
DOI:
EISSN:
1553-7358
ISSN:
1553-7358
Source identifiers:
571875
Pubs id:
pubs:571875
UUID:
uuid:720e58fb-eefe-4006-9c8f-6b9380b3d043
Local pid:
pubs:571875
Deposit date:
2015-11-25

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