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Neural mechanisms of hierarchical planning in a virtual subway network

Abstract:

Planning allows actions to be structured in pursuit of a future goal. However, in natural environments, planning over multiple possible future states incurs prohibitive computational costs. To represent plans efficiently, states can be clustered hierarchically into "contexts". For example, representing a journey through a subway network as a succession of individual states (stations) is more costly than encoding a sequence of contexts (lines) and context switches (line changes). Here, using f...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
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Publisher copy:
10.1016/j.neuron.2016.03.037

Authors


Balaguer, J More by this author
Hassabis, D More by this author
More by this author
Institution:
University of Oxford
Oxford college:
Wadham College
Department:
Oxford, MSD, Experimental Psychology
Publisher:
Elsevier (Cell Press) Publisher's website
Journal:
Neuron Journal website
Volume:
90
Issue:
4
Pages:
893-903
Publication date:
2016-05-18
Acceptance date:
2016-03-31
DOI:
EISSN:
1097-4199
ISSN:
0896-6273
Pubs id:
pubs:625024
URN:
uri:06e04dcd-2cde-40a5-9eb2-41bc3af7a6d1
UUID:
uuid:06e04dcd-2cde-40a5-9eb2-41bc3af7a6d1
Local pid:
pubs:625024
Language:
English
Keywords:

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