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Journal article

A distributed, hierarchical and recurrent framework for reward-based choice

Abstract:

Many accounts of reward-based choice argue for distinct component processes that are serial and functionally localized. We argue for an alternative viewpoint, in which choices emerge from repeated computations distributed across many brain regions. This account emphasizes how several features of neuroanatomy may support the implementation of choice, including mutual inhibition in recurrent neural networks and the hierarchical organisation of timescales across cortex. It also suggests that cer...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1038/nrn.2017.7

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Department:
Oxford, MSD, Psychiatry
Hayden, BY More by this author
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Funding agency for:
Hunt, LT
Publisher:
Nature Publishing Group Publisher's website
Journal:
Nature Reviews Neuroscience Journal website
Volume:
18
Issue:
3
Pages:
172-182
Publication date:
2017-02-05
Acceptance date:
2017-01-11
DOI:
EISSN:
1471-0048
ISSN:
1471-003X
Pubs id:
pubs:694745
URN:
uri:85932e5d-8364-4eab-8575-7cf8be61234c
UUID:
uuid:85932e5d-8364-4eab-8575-7cf8be61234c
Local pid:
pubs:694745

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