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The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments

Jiaxiang Zhang Orcid Logo

Frontiers in Psychology, Volume: 3

Swansea University Author: Jiaxiang Zhang Orcid Logo

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Abstract

Converging findings from behavioral, neurophysiological, and neuroimaging studies suggest an integration-to-boundary mechanism governing decision formation and choice selection. This mechanism is supported by sequential sampling models of choice decisions, which can implement statistically optimal d...

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Published in: Frontiers in Psychology
ISSN: 1664-1078
Published: Frontiers Media SA 2012
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URI: https://cronfa.swan.ac.uk/Record/cronfa61335
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spelling 2022-10-11T14:23:01.1955944 v2 61335 2022-09-26 The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments 555e06e0ed9a87608f2d035b3bde3a87 0000-0002-4758-0394 Jiaxiang Zhang Jiaxiang Zhang true false 2022-09-26 SCS Converging findings from behavioral, neurophysiological, and neuroimaging studies suggest an integration-to-boundary mechanism governing decision formation and choice selection. This mechanism is supported by sequential sampling models of choice decisions, which can implement statistically optimal decision strategies for selecting between multiple alternative options on the basis of sensory evidence. This review focuses on recent developments in understanding the evidence boundary, an important component of decision-making raised by experimental findings and models. The article starts by reviewing the neurobiology of perceptual decisions and several influential sequential sampling models, in particular the drift-diffusion model, the Ornstein–Uhlenbeck model and the leaky-competing-accumulator model. In the second part, the article examines how the boundary may affect a model’s dynamics and performance and to what extent it may improve a model’s fits to experimental data. In the third part, the article examines recent findings that support the presence and site of boundaries in the brain. The article considers two questions: (1) whether the boundary is a spontaneous property of neural integrators, or is controlled by dedicated neural circuits; (2) if the boundary is variable, what could be the driving factors behind boundary changes? The review brings together studies using different experimental methods in seeking answers to these questions, highlights psychological and physiological factors that may be associated with the boundary and its changes, and further considers the evidence boundary as a generic mechanism to guide complex behavior. Journal Article Frontiers in Psychology 3 Frontiers Media SA 1664-1078 decision, boundary, integration, modeling 1 8 2012 2012-08-01 10.3389/fpsyg.2012.00263 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University This work was supported by Medical Research Council intramural program MC_A060_5PQ30. 2022-10-11T14:23:01.1955944 2022-09-26T11:32:52.0991007 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Jiaxiang Zhang 0000-0002-4758-0394 1 61335__25412__7965d8a528824ad99fadf7becd27fff2.pdf 61335_VoR.pdf 2022-10-11T14:21:44.0285710 Output 1205939 application/pdf Version of Record true © 2012 Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/3.0/
title The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
spellingShingle The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
Jiaxiang Zhang
title_short The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
title_full The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
title_fullStr The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
title_full_unstemmed The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
title_sort The Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
author_id_str_mv 555e06e0ed9a87608f2d035b3bde3a87
author_id_fullname_str_mv 555e06e0ed9a87608f2d035b3bde3a87_***_Jiaxiang Zhang
author Jiaxiang Zhang
author2 Jiaxiang Zhang
format Journal article
container_title Frontiers in Psychology
container_volume 3
publishDate 2012
institution Swansea University
issn 1664-1078
doi_str_mv 10.3389/fpsyg.2012.00263
publisher Frontiers Media SA
college_str Faculty of Science and Engineering
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hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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description Converging findings from behavioral, neurophysiological, and neuroimaging studies suggest an integration-to-boundary mechanism governing decision formation and choice selection. This mechanism is supported by sequential sampling models of choice decisions, which can implement statistically optimal decision strategies for selecting between multiple alternative options on the basis of sensory evidence. This review focuses on recent developments in understanding the evidence boundary, an important component of decision-making raised by experimental findings and models. The article starts by reviewing the neurobiology of perceptual decisions and several influential sequential sampling models, in particular the drift-diffusion model, the Ornstein–Uhlenbeck model and the leaky-competing-accumulator model. In the second part, the article examines how the boundary may affect a model’s dynamics and performance and to what extent it may improve a model’s fits to experimental data. In the third part, the article examines recent findings that support the presence and site of boundaries in the brain. The article considers two questions: (1) whether the boundary is a spontaneous property of neural integrators, or is controlled by dedicated neural circuits; (2) if the boundary is variable, what could be the driving factors behind boundary changes? The review brings together studies using different experimental methods in seeking answers to these questions, highlights psychological and physiological factors that may be associated with the boundary and its changes, and further considers the evidence boundary as a generic mechanism to guide complex behavior.
published_date 2012-08-01T04:20:06Z
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