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dc.contributor.authorADEMOĞLU, AHMET
dc.contributor.authorBayram, Ali
dc.contributor.authorDemiralp, Tamer
dc.contributor.authorDuru, Adil Deniz
dc.date.accessioned2021-03-05T07:48:15Z
dc.date.available2021-03-05T07:48:15Z
dc.identifier.citationDuru A. D. , Bayram A., Demiralp T., ADEMOĞLU A., "Source localization of subtopographic brain maps for event related potentials (ERP)", 28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, New-York, Amerika Birleşik Devletleri, 30 Ağustos - 03 Eylül 2006, ss.3825-3826
dc.identifier.othervv_1032021
dc.identifier.otherav_95a3b49e-6a3f-419a-b62a-39adfbaa86f4
dc.identifier.urihttp://hdl.handle.net/20.500.12627/100757
dc.identifier.urihttps://doi.org/10.1109/iembs.2006.260824
dc.description.abstractLocalization of the cognitive activity in the brain is one of the major problems in neuroscience. Current techniques for neuro-imaging are based on Functional Magnetic Resonance Imaging (fMRI). Positron Emission Tomography (PET), and Event Related Potential (ERP) recordings. The highest temporal resolution is achieved by ERP, which is crucial for temporal localization of activities. However, the spatial resolution of scalp topography for ERP is low. There is a severe limitation for the parametric inverse Solution algorithms that they can only perform well for the temporally uncorrelated sources. In this study, a spatial decomposition method is proposed to separate the temporally correlated sources using their topographies prior to their localization.
dc.language.isoeng
dc.subjectMühendislik ve Teknoloji
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.titleSource localization of subtopographic brain maps for event related potentials (ERP)
dc.typeBildiri
dc.contributor.departmentBoğaziçi Üniversitesi , ,
dc.contributor.firstauthorID131573


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