Show simple item record

dc.contributor.authorRodríguez-Álvarez, M.X. 
dc.contributor.authorDurban, M.
dc.contributor.authorLee, D.-J. 
dc.contributor.authorEilers, P.H.C.
dc.contributor.authorGonzalez, F
dc.date.accessioned2017-01-03T17:44:24Z
dc.date.available2017-01-03T17:44:24Z
dc.date.issued2016-12-30
dc.identifier.urihttp://hdl.handle.net/20.500.11824/340
dc.description.abstractData analysed here derive from experiments conducted to study neurons' activity in the visual cortex of behaving monkeys. We consider a spatio-temporal adaptive penalized spline (P-spline) approach for modelling the firing rate of visual neurons. To the best of our knowledge, this is the first attempt in the statistical literature for locally adaptive smoothing in three dimensions. Estimation is based on the Separation of Overlapping Penalties (SOP) algorithm, which provides the stability and speed we look for.en_US
dc.description.sponsorshipMTM2014-55966-P MTM2014-52184-P RETICS, Oftared - RD12/0034/0017en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectVisual neuronen_US
dc.subjectVisual receptive elden_US
dc.subjectAdaptive Smoothingen_US
dc.subjectP-splinesen_US
dc.subjectSOP algorithmen_US
dc.titleSpatio-temporal adaptive penalized splines with application to Neuroscienceen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publisherversionarXiv:1610.06860 [stat.ME]en_US
dc.relation.projectIDES/1PE/SEV-2013-0323en_US
dc.relation.projectIDEUS/BERC/BERC.2014-2017en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersionen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España