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dc.contributor.authorHoward, Ian
dc.contributor.authorWolpert, DM
dc.contributor.authorFranklin, DW
dc.date.accessioned2015-07-18T23:09:11Z
dc.date.available2015-07-18T23:09:11Z
dc.date.issued2015-02
dc.identifier.issn0960-9822
dc.identifier.issn1879-0445
dc.identifier.urihttp://hdl.handle.net/10026.1/3444
dc.description.abstract

In ball sports, we are taught to follow through, despite the inability of events after contact or release to influence the outcome [1, 2]. Here we show that the specific motor memory active at any given moment critically depends on the movement that will be made in the near future. We demonstrate that associating a different follow-through movement with two motor skills that normally interfere [3-7] allows them to be learned simultaneously, suggesting that distinct future actions activate separate motor memories. This implies that when learning a skill, a variable follow-through would activate multiple motor memories across practice, whereas a consistent follow-through would activate a single motor memory, resulting in faster learning. We confirm this prediction and show that such follow-through effects influence adaptation over time periods associated with real-world skill learning. Overall, our results indicate that movements made in the immediate future influence the current active motor memory. This suggests that there is a critical time period both before [8] and after the current movement that determines motor memory activation and controls learning.

dc.format.extent397-401
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoeng
dc.publisherElsevier BV
dc.subjectAnalysis of Variance
dc.subjectAssociation Learning
dc.subjectGames, Experimental
dc.subjectHumans
dc.subjectModels, Psychological
dc.subjectMotor Skills
dc.subjectPsychomotor Performance
dc.subjectTime Factors
dc.titleThe Value of the Follow-Through Derives from Motor Learning Depending on Future Actions
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:000348967000030&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue3
plymouth.volume25
plymouth.publication-statusPublished
plymouth.journalCurrent Biology
dc.identifier.doi10.1016/j.cub.2014.12.037
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.placeEngland
dcterms.dateAccepted2014-12-15
dc.identifier.eissn1879-0445
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.cub.2014.12.037
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2015-02-02
rioxxterms.typeJournal Article/Review


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