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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31638
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dc.contributor.authorReader, Arran Ten_UK
dc.date.accessioned2020-09-04T00:02:04Z-
dc.date.available2020-09-04T00:02:04Z-
dc.date.issued2017-08en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31638-
dc.description.abstractDimensionality reduction techniques such as factor analysis can be used to identify the smallest number of components (motor synergies) that explain motion. Lambert-Shirzad and Van der Loos (J Neurophysiol 117: 290–302, 2017) compared dimensionality reduction techniques in bimanual hand movements, concluding that nonnegative matrix factorization was the optimal technique for extracting meaningful synergies. Their results provide a useful measure for examining how the motor system deals with novel motor tasks that allow the actor to engage with a virtual environment.en_UK
dc.language.isoenen_UK
dc.publisherAmerican Physiological Societyen_UK
dc.relationReader AT (2017) Optimal motor synergy extraction for novel actions and virtual environments. Journal of Neurophysiology, 118 (2), pp. 652-654. https://doi.org/10.1152/jn.00165.2017en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectmotor synergiesen_UK
dc.subjectdimensionality reductionen_UK
dc.subjectvirtual environmentsen_UK
dc.subjectnovel actionsen_UK
dc.titleOptimal motor synergy extraction for novel actions and virtual environmentsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[jn.00165.2017.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1152/jn.00165.2017en_UK
dc.identifier.pmid28539395en_UK
dc.citation.jtitleJournal of Neurophysiologyen_UK
dc.citation.issn1522-1598en_UK
dc.citation.issn0022-3077en_UK
dc.citation.volume118en_UK
dc.citation.issue2en_UK
dc.citation.spage652en_UK
dc.citation.epage654en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEconomic and Social Research Councilen_UK
dc.citation.date01/08/2017en_UK
dc.contributor.affiliationUniversity of Readingen_UK
dc.identifier.isiWOS:000408102700002en_UK
dc.identifier.scopusid2-s2.0-85026661715en_UK
dc.identifier.wtid1642071en_UK
dc.contributor.orcid0000-0002-0273-6367en_UK
dc.date.accepted2017-05-18en_UK
dcterms.dateAccepted2017-05-18en_UK
dc.date.filedepositdate2020-09-03en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorReader, Arran T|0000-0002-0273-6367en_UK
local.rioxx.projectProject ID unknown|Economic and Social Research Council|http://dx.doi.org/10.13039/501100000269en_UK
local.rioxx.freetoreaddate2267-07-02en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenamejn.00165.2017.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1522-1598en_UK
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