Neural mechanisms of hierarchical planning in a virtual subway network

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,...

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Main Authors: Balaguer, J, Spiers, H, Hassabis, D, Summerfield, C
Format: Journal article
Language:English
Published: Cell Press 2016
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author Balaguer, J
Spiers, H
Hassabis, D
Summerfield, C
author_facet Balaguer, J
Spiers, H
Hassabis, D
Summerfield, C
author_sort Balaguer, J
collection OXFORD
description 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 functional brain imaging, we asked humans to perform a planning task in a virtual subway network. Behavioral analyses revealed that humans executed a hierarchically organized plan. Brain activity in the dorsomedial prefrontal cortex and premotor cortex scaled with the cost of hierarchical plan representation and unique neural signals in these regions signaled contexts and context switches. These results suggest that humans represent hierarchical plans using a network of caudal prefrontal structures.
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spelling oxford-uuid:06e04dcd-2cde-40a5-9eb2-41bc3af7a6d12022-03-26T09:04:40ZNeural mechanisms of hierarchical planning in a virtual subway networkJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:06e04dcd-2cde-40a5-9eb2-41bc3af7a6d1EnglishSymplectic Elements at OxfordCell Press2016Balaguer, JSpiers, HHassabis, DSummerfield, CPlanning 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 functional brain imaging, we asked humans to perform a planning task in a virtual subway network. Behavioral analyses revealed that humans executed a hierarchically organized plan. Brain activity in the dorsomedial prefrontal cortex and premotor cortex scaled with the cost of hierarchical plan representation and unique neural signals in these regions signaled contexts and context switches. These results suggest that humans represent hierarchical plans using a network of caudal prefrontal structures.
spellingShingle Balaguer, J
Spiers, H
Hassabis, D
Summerfield, C
Neural mechanisms of hierarchical planning in a virtual subway network
title Neural mechanisms of hierarchical planning in a virtual subway network
title_full Neural mechanisms of hierarchical planning in a virtual subway network
title_fullStr Neural mechanisms of hierarchical planning in a virtual subway network
title_full_unstemmed Neural mechanisms of hierarchical planning in a virtual subway network
title_short Neural mechanisms of hierarchical planning in a virtual subway network
title_sort neural mechanisms of hierarchical planning in a virtual subway network
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