Working memory as a representational template for reinforcement learning

Working memory (WM) and reinforcement learning (RL) both influence decision-making, but how they interact to affect behaviour remains unclear. We assessed whether RL is influenced by the format of visual stimuli held in WM, either feature-based or unified, object-based representations. In a pre-regi...

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Main Authors: Shibata, K, Klar, V, Fallon, SJ, Husain, M, Manohar, SG
Format: Journal article
Language:English
Published: Nature Research 2024
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author Shibata, K
Klar, V
Fallon, SJ
Husain, M
Manohar, SG
author_facet Shibata, K
Klar, V
Fallon, SJ
Husain, M
Manohar, SG
author_sort Shibata, K
collection OXFORD
description Working memory (WM) and reinforcement learning (RL) both influence decision-making, but how they interact to affect behaviour remains unclear. We assessed whether RL is influenced by the format of visual stimuli held in WM, either feature-based or unified, object-based representations. In a pre-registered paradigm, participants learned stimulus-action combinations that provided reward through 80% probabilistic feedback. In parallel, participants retained the RL stimulus in WM and were asked to recall this stimulus after each RL choice. Crucially, the format of representation probed in WM was manipulated, with blocks encouraging either separate features or bound objects to be remembered. Incentivising a feature-based WM representation facilitated feature-based learning, shown by an improved choice strategy. This reveals a role of WM in providing sustained internal representations that are harnessed by RL, providing a framework by which these two cognitive processes cooperate.
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spelling oxford-uuid:c25a35cb-1c6d-483a-acc4-d38780dd52852024-11-12T20:10:33ZWorking memory as a representational template for reinforcement learningJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c25a35cb-1c6d-483a-acc4-d38780dd5285EnglishJisc Publications RouterNature Research2024Shibata, KKlar, VFallon, SJHusain, MManohar, SGWorking memory (WM) and reinforcement learning (RL) both influence decision-making, but how they interact to affect behaviour remains unclear. We assessed whether RL is influenced by the format of visual stimuli held in WM, either feature-based or unified, object-based representations. In a pre-registered paradigm, participants learned stimulus-action combinations that provided reward through 80% probabilistic feedback. In parallel, participants retained the RL stimulus in WM and were asked to recall this stimulus after each RL choice. Crucially, the format of representation probed in WM was manipulated, with blocks encouraging either separate features or bound objects to be remembered. Incentivising a feature-based WM representation facilitated feature-based learning, shown by an improved choice strategy. This reveals a role of WM in providing sustained internal representations that are harnessed by RL, providing a framework by which these two cognitive processes cooperate.
spellingShingle Shibata, K
Klar, V
Fallon, SJ
Husain, M
Manohar, SG
Working memory as a representational template for reinforcement learning
title Working memory as a representational template for reinforcement learning
title_full Working memory as a representational template for reinforcement learning
title_fullStr Working memory as a representational template for reinforcement learning
title_full_unstemmed Working memory as a representational template for reinforcement learning
title_short Working memory as a representational template for reinforcement learning
title_sort working memory as a representational template for reinforcement learning
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