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dc.contributor.authorCarpenter, Kathryn
dc.contributor.authorWills, Andy
dc.contributor.authorBenattayallah, A
dc.contributor.authorMilton, F
dc.date.accessioned2016-07-13T09:50:25Z
dc.date.available2016-07-13T09:50:25Z
dc.date.issued2016-10
dc.identifier.issn1065-9471
dc.identifier.issn1097-0193
dc.identifier.urihttp://hdl.handle.net/10026.1/5050
dc.description.abstract

The influential competition between verbal and implicit systems (COVIS) model proposes that category learning is driven by two competing neural systems-an explicit, verbal, system, and a procedural-based, implicit, system. In the current fMRI study, participants learned either a conjunctive, rule-based (RB), category structure that is believed to engage the explicit system, or an information-integration category structure that is thought to preferentially recruit the implicit system. The RB and information-integration category structures were matched for participant error rate, the number of relevant stimulus dimensions, and category separation. Under these conditions, considerable overlap in brain activation, including the prefrontal cortex, basal ganglia, and the hippocampus, was found between the RB and information-integration category structures. Contrary to the predictions of COVIS, the medial temporal lobes and in particular the hippocampus, key regions for explicit memory, were found to be more active in the information-integration condition than in the RB condition. No regions were more activated in RB than information-integration category learning. The implications of these results for theories of category learning are discussed. Hum Brain Mapp 37:3557-3574, 2016. © 2016 Wiley Periodicals, Inc.

dc.format.extent3557-3574
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoen
dc.publisherWiley
dc.subjectmagnetic resonance imaging
dc.subjectlearning
dc.subjectverbal
dc.subjecthippocampus
dc.subjectparahippocampal gyrus
dc.subjectcaudate nucleus
dc.titleA Comparison of the neural correlates that underlie rule-based and information-integration category learning
dc.typejournal-article
dc.typeComparative Study
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:000383864500014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue10
plymouth.volume37
plymouth.publication-statusPublished
plymouth.journalHuman Brain Mapping
dc.identifier.doi10.1002/hbm.23259
plymouth.organisational-group/Plymouth
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plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA04 Psychology, Psychiatry and Neuroscience
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
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dc.publisher.placeUnited States
dcterms.dateAccepted2016-05-02
dc.rights.embargodate2017-5-20
dc.identifier.eissn1097-0193
dc.rights.embargoperiod12 months
rioxxterms.versionofrecord10.1002/hbm.23259
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2016-10
rioxxterms.typeJournal Article/Review
plymouth.oa-locationhttps://ore.exeter.ac.uk/repository/handle/10871/21390


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