Show simple item record

dc.contributor.authorAlink, Arjen
dc.contributor.authorAbdulrahman, A
dc.contributor.authorHenson, Rik
dc.date.accessioned2018-09-10T22:18:17Z
dc.date.available2018-09-10T22:18:17Z
dc.date.issued2018-09-21
dc.identifier.issn2041-1723
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/280102
dc.description.abstractInferring neural mechanisms from functional magnetic resonance imaging (fMRI) is challenging because the fMRI signal integrates over millions of neurons. One approach is to compare computational models that map neural activity to fMRI responses, to see which best predicts fMRI data. We use this approach to compare four possible neural mechanisms of fMRI adaptation to repeated stimuli (scaling, sharpening, repulsive shifting and attractive shifting), acting across three domains (global, local and remote). Six features of fMRI repetition effects are identified, both univariate and multivariate, from two independent fMRI experiments. After searching over parameter values, only the local scaling model can simultaneously fit all data features from both experiments. Thus fMRI stimulus repetition effects are best captured by down-scaling neuronal tuning curves in proportion to the difference between the stimulus and neuronal preference. These results emphasize the importance of formal modelling for bridging neuronal and fMRI levels of investigation.
dc.description.sponsorshipThis work was supported by British Academy postdoctoral fellowship and a Marie Curie fellowship (753441) to A.A., a Cambridge University international scholarship and IDB merit scholarship award to H.A., and Medical Research Council programme grant (SUAG/010 RG91365) to R.N.H.
dc.publisherSpringer Nature
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleForward models demonstrate that repetition suppression is best modelled by local neural scaling
dc.typeArticle
prism.number3854
prism.publicationNameNature Communications
prism.volume9
dc.identifier.doi10.17863/CAM.27466
dcterms.dateAccepted2018-08-02
rioxxterms.versionofrecord10.1038/s41467-018-05957-0
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2018-08-02
dc.contributor.orcidHenson, Rik [0000-0002-0712-2639]
dc.identifier.eissn2041-1723
rioxxterms.typeJournal Article/Review
pubs.funder-project-idMRC (unknown)
pubs.funder-project-idMedical Research Council (MC_UU_00005/8)
cam.issuedOnline2018-09-21
cam.orpheus.successThu Jan 30 10:54:25 GMT 2020 - The item has an open VoR version.
rioxxterms.freetoread.startdate2100-01-01


Files in this item

Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International