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dc.contributor.authorGulcur, HO
dc.contributor.authorDemiralp, Tamer
dc.contributor.authorYilmaz, YK
dc.date.accessioned2021-03-04T09:12:12Z
dc.date.available2021-03-04T09:12:12Z
dc.identifier.citationGulcur H., Yilmaz Y., Demiralp T., "Classification of P300 component in single trial event related potentials", 2nd International Biomedical Engineering Days Conference, İstanbul, Türkiye, 20 - 22 Mayıs 1998, ss.48-50
dc.identifier.othervv_1032021
dc.identifier.otherav_671dc28b-afde-4b93-8e39-cd8cdb6bec2f
dc.identifier.urihttp://hdl.handle.net/20.500.12627/71569
dc.identifier.urihttps://doi.org/10.1109/ibed.1998.710558
dc.description.abstractIn order to classify the P300 wave in single trials of an auditory oddball paradigm, an artificial neural network based on backpropagation error learning algorithm is implemented. After training, the neural network is expected to classify the responses into two categories according to the applied rare (target) and common (non-target) stimuli types.
dc.language.isoeng
dc.subjectMühendislik ve Teknoloji
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.titleClassification of P300 component in single trial event related potentials
dc.typeBildiri
dc.contributor.department, ,
dc.contributor.firstauthorID718817


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