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Journal article

Neural structure mapping in human probabilistic reward learning

Abstract:

Humans can learn abstract concepts that describe invariances over relational patterns in data. One such concept, known as magnitude, allows stimuli to be compactly represented on a single dimension (i.e. on a mental line). Here, we measured representations of magnitude in humans by recording neural signals whilst they viewed symbolic numbers. During a subsequent reward-guided learning task, the neural patterns elicited by novel complex visual images reflected their payout probability in a way...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.7554/elife.42816

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Oxford college:
New College
Role:
Author
ORCID:
0000-0003-0656-538X
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
Role:
Author
Publisher:
eLife Sciences Publisher's website
Journal:
eLife Journal website
Volume:
8
Article number:
e42816
Publication date:
2019-03-07
Acceptance date:
2019-02-21
DOI:
EISSN:
2050-084X
Pmid:
30843789
Source identifiers:
980921
Language:
English
Keywords:
Pubs id:
pubs:980921
UUID:
uuid:4eac1bae-e887-4ea7-8f3a-7dfc8e28ec61
Local pid:
pubs:980921
Deposit date:
2019-03-09

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