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dc.contributor.authorKörding, KP
dc.contributor.authorFukunaga, I
dc.contributor.authorHoward, Ian
dc.contributor.authorIngram, JN
dc.contributor.authorWolpert, DM
dc.date.accessioned2019-10-22T12:45:13Z
dc.date.available2019-10-22T12:45:13Z
dc.date.issued2004-10
dc.identifier.issn1545-7885
dc.identifier.issn1545-7885
dc.identifier.otherARTN e330
dc.identifier.urihttp://hdl.handle.net/10026.1/15034
dc.description.abstract

Making choices is a fundamental aspect of human life. For over a century experimental economists have characterized the decisions people make based on the concept of a utility function. This function increases with increasing desirability of the outcome, and people are assumed to make decisions so as to maximize utility. When utility depends on several variables, indifference curves arise that represent outcomes with identical utility that are therefore equally desirable. Whereas in economics utility is studied in terms of goods and services, the sensorimotor system may also have utility functions defining the desirability of various outcomes. Here, we investigate the indifference curves when subjects experience forces of varying magnitude and duration. Using a two-alternative forced-choice paradigm, in which subjects chose between different magnitude-duration profiles, we inferred the indifference curves and the utility function. Such a utility function defines, for example, whether subjects prefer to lift a 4-kg weight for 30 s or a 1-kg weight for a minute. The measured utility function depends nonlinearly on the force magnitude and duration and was remarkably conserved across subjects. This suggests that the utility function, a central concept in economics, may be applicable to the study of sensorimotor control.

dc.format.extente330-e330
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.subjectAdult
dc.subjectBehavior
dc.subjectBrain
dc.subjectChoice Behavior
dc.subjectCognition
dc.subjectDecision Making
dc.subjectEconomics
dc.subjectHumans
dc.subjectModels, Neurological
dc.subjectModels, Statistical
dc.subjectModels, Theoretical
dc.titleA Neuroeconomics Approach to Inferring Utility Functions in Sensorimotor Control
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000224737100021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue10
plymouth.volume2
plymouth.publication-statusPublished online
plymouth.journalPLoS Biology
dc.identifier.doi10.1371/journal.pbio.0020330
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeUnited States
dcterms.dateAccepted2004-07-30
dc.identifier.eissn1545-7885
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1371/journal.pbio.0020330
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2004-10
rioxxterms.typeJournal Article/Review


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