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Model comparison for automatic characterization and classification of average ERPs using visual oddball paradigm

dc.contributor.authorOnaral, B.
dc.contributor.authorMerzagora, A. C.
dc.contributor.authorButti, M.
dc.contributor.authorPolikar, R.
dc.contributor.authorIzzetoglu, M.
dc.contributor.authorBunce, S.
dc.contributor.authorCerutti, S.
dc.contributor.authorBianchi, A. M.
dc.date.accessioned2022-02-18T10:19:48Z
dc.date.available2022-02-18T10:19:48Z
dc.date.issued2009
dc.identifier.citationMerzagora A. C. , Butti M., Polikar R., Izzetoglu M., Bunce S., Cerutti S., Bianchi A. M. , Onaral B., "Model comparison for automatic characterization and classification of average ERPs using visual oddball paradigm", CLINICAL NEUROPHYSIOLOGY, cilt.120, sa.2, ss.264-274, 2009
dc.identifier.issn1388-2457
dc.identifier.otherav_9126d6e9-2be7-448e-9ce4-d49ec7f5b985
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/179019
dc.identifier.urihttps://doi.org/10.1016/j.clinph.2008.10.016
dc.description.abstractObjective: To determine whether automated classifiers can be used for correctly identifying target categorization responses from averaged event-related potentials (ERPs) along with identifying appropriate features and classification models for computer-assisted investigation of attentional processes.
dc.language.isoeng
dc.subjectPhysical Sciences
dc.subjectLife Sciences
dc.subjectHealth Sciences
dc.subjectNeurology (clinical)
dc.subjectKLİNİK NEUROLOJİ
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectNEUROSCIENCES
dc.subjectSinirbilim ve Davranış
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectNöroloji
dc.subjectYaşam Bilimleri
dc.subjectTemel Bilimler
dc.subjectNeurology
dc.subjectDevelopmental Neuroscience
dc.subjectCellular and Molecular Neuroscience
dc.subjectCognitive Neuroscience
dc.subjectGeneral Neuroscience
dc.subjectNeuroscience (miscellaneous)
dc.subjectSensory Systems
dc.subjectHuman-Computer Interaction
dc.titleModel comparison for automatic characterization and classification of average ERPs using visual oddball paradigm
dc.typeMakale
dc.relation.journalCLINICAL NEUROPHYSIOLOGY
dc.contributor.departmentDrexel University , ,
dc.identifier.volume120
dc.identifier.issue2
dc.identifier.startpage264
dc.identifier.endpage274
dc.contributor.firstauthorID3376596


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