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Risk-Sensitivity in Bayesian Sensorimotor Integration

Information processing in the nervous system during sensorimotor tasks with inherent uncertainty has been shown to be consistent with Bayesian integration. Bayes optimal decision-makers are, however, risk-neutral in the sense that they weigh all possibilities based on prior expectation and sensory e...

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Autores principales: Grau-Moya, Jordi, Ortega, Pedro A., Braun, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459842/
https://www.ncbi.nlm.nih.gov/pubmed/23028294
http://dx.doi.org/10.1371/journal.pcbi.1002698
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author Grau-Moya, Jordi
Ortega, Pedro A.
Braun, Daniel A.
author_facet Grau-Moya, Jordi
Ortega, Pedro A.
Braun, Daniel A.
author_sort Grau-Moya, Jordi
collection PubMed
description Information processing in the nervous system during sensorimotor tasks with inherent uncertainty has been shown to be consistent with Bayesian integration. Bayes optimal decision-makers are, however, risk-neutral in the sense that they weigh all possibilities based on prior expectation and sensory evidence when they choose the action with highest expected value. In contrast, risk-sensitive decision-makers are sensitive to model uncertainty and bias their decision-making processes when they do inference over unobserved variables. In particular, they allow deviations from their probabilistic model in cases where this model makes imprecise predictions. Here we test for risk-sensitivity in a sensorimotor integration task where subjects exhibit Bayesian information integration when they infer the position of a target from noisy sensory feedback. When introducing a cost associated with subjects' response, we found that subjects exhibited a characteristic bias towards low cost responses when their uncertainty was high. This result is in accordance with risk-sensitive decision-making processes that allow for deviations from Bayes optimal decision-making in the face of uncertainty. Our results suggest that both Bayesian integration and risk-sensitivity are important factors to understand sensorimotor integration in a quantitative fashion.
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spelling pubmed-34598422012-10-01 Risk-Sensitivity in Bayesian Sensorimotor Integration Grau-Moya, Jordi Ortega, Pedro A. Braun, Daniel A. PLoS Comput Biol Research Article Information processing in the nervous system during sensorimotor tasks with inherent uncertainty has been shown to be consistent with Bayesian integration. Bayes optimal decision-makers are, however, risk-neutral in the sense that they weigh all possibilities based on prior expectation and sensory evidence when they choose the action with highest expected value. In contrast, risk-sensitive decision-makers are sensitive to model uncertainty and bias their decision-making processes when they do inference over unobserved variables. In particular, they allow deviations from their probabilistic model in cases where this model makes imprecise predictions. Here we test for risk-sensitivity in a sensorimotor integration task where subjects exhibit Bayesian information integration when they infer the position of a target from noisy sensory feedback. When introducing a cost associated with subjects' response, we found that subjects exhibited a characteristic bias towards low cost responses when their uncertainty was high. This result is in accordance with risk-sensitive decision-making processes that allow for deviations from Bayes optimal decision-making in the face of uncertainty. Our results suggest that both Bayesian integration and risk-sensitivity are important factors to understand sensorimotor integration in a quantitative fashion. Public Library of Science 2012-09-27 /pmc/articles/PMC3459842/ /pubmed/23028294 http://dx.doi.org/10.1371/journal.pcbi.1002698 Text en © 2012 Grau-Moya et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Grau-Moya, Jordi
Ortega, Pedro A.
Braun, Daniel A.
Risk-Sensitivity in Bayesian Sensorimotor Integration
title Risk-Sensitivity in Bayesian Sensorimotor Integration
title_full Risk-Sensitivity in Bayesian Sensorimotor Integration
title_fullStr Risk-Sensitivity in Bayesian Sensorimotor Integration
title_full_unstemmed Risk-Sensitivity in Bayesian Sensorimotor Integration
title_short Risk-Sensitivity in Bayesian Sensorimotor Integration
title_sort risk-sensitivity in bayesian sensorimotor integration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459842/
https://www.ncbi.nlm.nih.gov/pubmed/23028294
http://dx.doi.org/10.1371/journal.pcbi.1002698
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