Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice

During perceptual decision-making tasks, centroparietal EEG potentials report an evidence accumulation-to-bound process that is time locked to trial onset. However, decisions in real-world environments are rarely confined to discrete trials; they instead unfold continuously, with accumulation of tim...

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Main Authors: Ruesseler, M, Weber, LAE, Marshall, TR, O'Reilly, JX, Hunt, LT
Format: Internet publication
Language:English
Published: 2022
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author Ruesseler, M
Weber, LAE
Marshall, TR
O'Reilly, JX
Hunt, LT
author_facet Ruesseler, M
Weber, LAE
Marshall, TR
O'Reilly, JX
Hunt, LT
author_sort Ruesseler, M
collection OXFORD
description During perceptual decision-making tasks, centroparietal EEG potentials report an evidence accumulation-to-bound process that is time locked to trial onset. However, decisions in real-world environments are rarely confined to discrete trials; they instead unfold continuously, with accumulation of time-varying evidence being recency-weighted towards its immediate past. Confronted with time-varying stimuli, humans can appropriately adapt their weighting of recent evidence according to the statistics of the environment. The neural mechanisms supporting this adaptation currently remain unclear. Here, we show that humans’ ability to adapt evidence weighting to different sensory environments is reflected in changes in centroparietal EEG potentials. We use a novel continuous task design to show that the Centroparietal Positivity (CPP) becomes more sensitive to fluctuations in sensory evidence when large shifts in evidence are less frequent, and is primarily sensitive to fluctuations in decision-relevant (not decision-irrelevant) sensory input. A complementary triphasic component over parietal cortex encodes the sum of recently accumulated sensory evidence, and its magnitude covaries with the duration over which different individuals integrate sensory evidence. Our findings reveal how adaptations in centroparietal responses reflect flexibility in evidence accumulation to the statistics of dynamic sensory environments.
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spelling oxford-uuid:bb52d594-8428-4644-87dd-9f7e3f31b0262022-12-02T14:07:23ZDecision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choiceInternet publicationhttp://purl.org/coar/resource_type/c_7ad9uuid:bb52d594-8428-4644-87dd-9f7e3f31b026EnglishSymplectic Elements2022Ruesseler, MWeber, LAEMarshall, TRO'Reilly, JXHunt, LTDuring perceptual decision-making tasks, centroparietal EEG potentials report an evidence accumulation-to-bound process that is time locked to trial onset. However, decisions in real-world environments are rarely confined to discrete trials; they instead unfold continuously, with accumulation of time-varying evidence being recency-weighted towards its immediate past. Confronted with time-varying stimuli, humans can appropriately adapt their weighting of recent evidence according to the statistics of the environment. The neural mechanisms supporting this adaptation currently remain unclear. Here, we show that humans’ ability to adapt evidence weighting to different sensory environments is reflected in changes in centroparietal EEG potentials. We use a novel continuous task design to show that the Centroparietal Positivity (CPP) becomes more sensitive to fluctuations in sensory evidence when large shifts in evidence are less frequent, and is primarily sensitive to fluctuations in decision-relevant (not decision-irrelevant) sensory input. A complementary triphasic component over parietal cortex encodes the sum of recently accumulated sensory evidence, and its magnitude covaries with the duration over which different individuals integrate sensory evidence. Our findings reveal how adaptations in centroparietal responses reflect flexibility in evidence accumulation to the statistics of dynamic sensory environments.
spellingShingle Ruesseler, M
Weber, LAE
Marshall, TR
O'Reilly, JX
Hunt, LT
Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice
title Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice
title_full Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice
title_fullStr Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice
title_full_unstemmed Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice
title_short Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice
title_sort decision making in dynamic continuously evolving environments quantifying the flexibility of human choice
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