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Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans
Computational Brain and Behavior, Volume: 4, Issue: 2, Pages: 191 - 212
Swansea University Author:
Jiaxiang Zhang
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DOI (Published version): 10.1007/s42113-020-00096-6
Abstract
Choosing between equally valued options is a common conundrum, for which classical decision theories predicted a prolonged response time (RT). This contrasts with the notion that an optimal decision maker in a stable environment should make fast and random choices, as the outcomes are indifferent. H...
Published in: | Computational Brain and Behavior |
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ISSN: | 2522-0861 2522-087X |
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Springer Science and Business Media LLC
2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa61251 |
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Here, we characterize the neurocognitive processes underlying such voluntary decisions by integrating cognitive modelling of behavioral responses and EEG recordings in a probabilistic reward task. Human participants performed binary choices between pairs of unambiguous cues associated with identical reward probabilities at different levels. Higher reward probability accelerated RT, and participants chose one cue faster and more frequent over the other at each probability level. The behavioral effects on RT persisted in simple reactions to single cues. By using hierarchical Bayesian parameter estimation for an accumulator model, we showed that the probability and preference effects were independently associated with changes in the speed of evidence accumulation, but not with visual encoding or motor execution latencies. Time-resolved MVPA of EEG-evoked responses identified significant representations of reward certainty and preference as early as 120 ms after stimulus onset, with spatial relevance patterns maximal in middle central and parietal electrodes. Furthermore, EEG-informed computational modelling showed that the rate of change between N100 and P300 event-related potentials modulated accumulation rates on a trial-by-trial basis. 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2022-09-26T14:51:06.2480656 v2 61251 2022-09-16 Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans 555e06e0ed9a87608f2d035b3bde3a87 0000-0002-4758-0394 Jiaxiang Zhang Jiaxiang Zhang true false 2022-09-16 SCS Choosing between equally valued options is a common conundrum, for which classical decision theories predicted a prolonged response time (RT). This contrasts with the notion that an optimal decision maker in a stable environment should make fast and random choices, as the outcomes are indifferent. Here, we characterize the neurocognitive processes underlying such voluntary decisions by integrating cognitive modelling of behavioral responses and EEG recordings in a probabilistic reward task. Human participants performed binary choices between pairs of unambiguous cues associated with identical reward probabilities at different levels. Higher reward probability accelerated RT, and participants chose one cue faster and more frequent over the other at each probability level. The behavioral effects on RT persisted in simple reactions to single cues. By using hierarchical Bayesian parameter estimation for an accumulator model, we showed that the probability and preference effects were independently associated with changes in the speed of evidence accumulation, but not with visual encoding or motor execution latencies. Time-resolved MVPA of EEG-evoked responses identified significant representations of reward certainty and preference as early as 120 ms after stimulus onset, with spatial relevance patterns maximal in middle central and parietal electrodes. Furthermore, EEG-informed computational modelling showed that the rate of change between N100 and P300 event-related potentials modulated accumulation rates on a trial-by-trial basis. Our findings suggest that reward probability and spontaneous preference collectively shape voluntary decisions between equal options, providing a mechanism to prevent indecision or random behavior. Journal Article Computational Brain and Behavior 4 2 191 212 Springer Science and Business Media LLC 2522-0861 2522-087X Decision making; Reward probability; Preference; EEG; Cognitive modelling 1 6 2021 2021-06-01 10.1007/s42113-020-00096-6 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University This study was supported by a European Research Council starting grant (716321). WZ was supported by a PhD studentship from Cardiff University School of Psychology. DK was supported by a PhD studentship from the Engineering and Physical Sciences Research Council (1982622). 2022-09-26T14:51:06.2480656 2022-09-16T09:39:45.9539880 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Wojciech Zajkowski 0000-0001-6078-1724 1 Dominik Krzemiński 2 Jacopo Barone 3 Lisa H. Evans 4 Jiaxiang Zhang 0000-0002-4758-0394 5 61251__25229__da50d0e5ca2e420cb0305f9d0eb1d87e.pdf 61251_VoR.pdf 2022-09-26T14:49:06.7825861 Output 1560585 application/pdf Version of Record true © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommonshorg/licenses/by/4.0/ |
title |
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans |
spellingShingle |
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans Jiaxiang Zhang |
title_short |
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans |
title_full |
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans |
title_fullStr |
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans |
title_full_unstemmed |
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans |
title_sort |
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans |
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555e06e0ed9a87608f2d035b3bde3a87 |
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555e06e0ed9a87608f2d035b3bde3a87_***_Jiaxiang Zhang |
author |
Jiaxiang Zhang |
author2 |
Wojciech Zajkowski Dominik Krzemiński Jacopo Barone Lisa H. Evans Jiaxiang Zhang |
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Computational Brain and Behavior |
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10.1007/s42113-020-00096-6 |
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Springer Science and Business Media LLC |
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Choosing between equally valued options is a common conundrum, for which classical decision theories predicted a prolonged response time (RT). This contrasts with the notion that an optimal decision maker in a stable environment should make fast and random choices, as the outcomes are indifferent. Here, we characterize the neurocognitive processes underlying such voluntary decisions by integrating cognitive modelling of behavioral responses and EEG recordings in a probabilistic reward task. Human participants performed binary choices between pairs of unambiguous cues associated with identical reward probabilities at different levels. Higher reward probability accelerated RT, and participants chose one cue faster and more frequent over the other at each probability level. The behavioral effects on RT persisted in simple reactions to single cues. By using hierarchical Bayesian parameter estimation for an accumulator model, we showed that the probability and preference effects were independently associated with changes in the speed of evidence accumulation, but not with visual encoding or motor execution latencies. Time-resolved MVPA of EEG-evoked responses identified significant representations of reward certainty and preference as early as 120 ms after stimulus onset, with spatial relevance patterns maximal in middle central and parietal electrodes. Furthermore, EEG-informed computational modelling showed that the rate of change between N100 and P300 event-related potentials modulated accumulation rates on a trial-by-trial basis. Our findings suggest that reward probability and spontaneous preference collectively shape voluntary decisions between equal options, providing a mechanism to prevent indecision or random behavior. |
published_date |
2021-06-01T04:19:57Z |
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1763754322368135168 |
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11.021648 |