Using Johnson's SU distribution for modeling the background activity in extracellular neural recordings

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dc.authorid0000-0003-1744-5252
dc.contributor.authorÖgütcen, Melih Yılmaz
dc.contributor.authorKocatürk, Mehmet
dc.contributor.authorOkatan, Murat
dc.date.accessioned2022-02-25T08:20:48Z
dc.date.available2022-02-25T08:20:48Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Biyomedikal Mühendisliği Bölümü
dc.description.abstractExtracellular neural recordings obtained from awake behaving subjects through chronically implanted microelectrode arrays provide information about the functioning of the brain with sub-millisecond temporal resolution at the level of individual neurons. After bandpass filtering in a frequency range suitable for spike detection, these recordings consist of spikes and background activity. Methods exist to segment the background activity automatically using truncation thresholds and Otsu-based methods. In previous work, truncation thresholds have been computed using the truncated Normal distribution. Here, we use the truncated Johnson's SU distribution instead to examine whether it segments the background activity better. We also find that the truncated Johnson's SU distribution explains the background activity segmented by Otsu-based thresholds. These results are useful for developing invasive brain-computer-interfaces that automatically extract information from extracellular neural recordings in real time.
dc.identifier.citationÖgütcen, M. Y., Kocatürk, M. ve Okatan, M. (2021). Using Johnson's SU distribution for modeling the background activity in extracellular neural recordings. Medical Technologies Congress, TIPTEKNO, Antalya, Turkey, 4-6 November 2021. https://doi.org/10.1109/TIPTEKNO53239.2021.9632933
dc.identifier.doi10.1109/TIPTEKNO53239.2021.9632933
dc.identifier.isbn9781665436632
dc.identifier.scopus2-s2.0-85123722014
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO53239.2021.9632933
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9006
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKocatürk, Mehmet
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofMedical Technologies Congress, TIPTEKNOen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectAmplitude Thresholding
dc.subjectBrain Machine Interface
dc.subjectComputational Neuroscience
dc.subjectJohnson's SU Distribution
dc.subjectSpike Detection
dc.titleUsing Johnson's SU distribution for modeling the background activity in extracellular neural recordings
dc.typeConference Object

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