Näytä suppeat kuvailutiedot

dc.contributor.authorTsatsishvili, Valeri
dc.contributor.authorCong, Fengyu
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorToiviainen, Petri
dc.contributor.authorAlluri, Vinoo
dc.contributor.authorBrattico, Elvira
dc.contributor.authorNandi, Asoke
dc.date.accessioned2015-02-10T12:41:41Z
dc.date.available2015-02-10T12:41:41Z
dc.date.issued2014
dc.identifier.citationTsatsishvili, V., Cong, F., Ristaniemi, T., Toiviainen, P., Alluri, V., Brattico, E., & Nandi, A. (2014). Generation of stimulus features for analysis of FMRI during natural auditory experiences. In <i>2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)</i> (pp. 2490-2494). IEEE. European Signal Processing Conference.
dc.identifier.isbn978-0-9928626-1-9
dc.identifier.otherCONVID_24056489
dc.identifier.otherTUTKAID_64109
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/45287
dc.description.abstractIn contrast to block and event-related designs for fMRI experiments, it becomes much more difficult to extract events of interest in the complex continuous stimulus for finding corresponding blood-oxygen-level dependent (BOLD) responses. Recently, in a free music listening fMRI experiment, acoustic features of the naturalistic music stimulus were first extracted, and then principal component analysis (PCA) was applied to select the features of interest acting as the stimulus sequences. For feature generation, kernel PCA has shown superiority over PCA since it can implicitly exploit nonlinear relationship among features and such relationship seems to exist generally. Here, we applied kernel PCA to select the musical features and obtained an interesting new musical feature in contrast to PCA features. With the new feature, we found similar fMRI results compared with those by PCA features, indicating that kernel PCA assists to capture more properties of the naturalistic music stimulus.
dc.format.extent2534
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)
dc.relation.ispartofseriesEuropean Signal Processing Conference
dc.relation.urihttp://ieeexplore.ieee.org/Xplore/home.jsp
dc.subject.otherfeature extraction
dc.titleGeneration of stimulus features for analysis of FMRI during natural auditory experiences
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201412303587
dc.contributor.laitosMusiikin laitosfi
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Musicen
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineMusiikkitiedefi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMusicologyen
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2014-12-30T16:30:08Z
dc.relation.isbn978-0-9928626-1-9
dc.type.coarconference paper
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2490-2494
dc.relation.issn2219-5491
dc.type.versionacceptedVersion
dc.rights.copyright© 2014 IEEE. This is an author's post-print version of an article whose final and definitive form has been published in the conference proceeding by IEEE.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceEuropean Signal Processing Conference
dc.subject.ysokokeet (tutkimustoiminta)
dc.subject.ysosignaalinkäsittely
dc.subject.ysoriippumattomien komponenttien analyysi
jyx.subject.urihttp://www.yso.fi/onto/yso/p30155
jyx.subject.urihttp://www.yso.fi/onto/yso/p12266
jyx.subject.urihttp://www.yso.fi/onto/yso/p38529


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot