Classification of EEG Signals Using Spiking Neural Networks

dc.contributor.authorTahtirvanci, Aykut
dc.contributor.authorDurdu, Akif
dc.contributor.authorYilmaz, Burak
dc.date.accessioned2020-03-26T19:53:06Z
dc.date.available2020-03-26T19:53:06Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYen_US
dc.description.abstractIn signal processing applications of conventional artificial neural networks, the processing time of the data is high and the accuracy rates are not good enough. At the same time, time-dependent processing is not possible. In this study, classification of EEG signals was performed using an artificial neural network including the characteristics of spiking neural networks. Successful results were obtained using large data sets. Moreover, by using the neuron model of Eugene M. Izhikevich as the spiking neural network model, the EEG signals were processed biologically realistically.en_US
dc.description.sponsorshipIEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univen_US
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36402
dc.identifier.wosWOS:000511448500323en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectspiking neural networksen_US
dc.subjectEEGen_US
dc.subjectartifical neural networksen_US
dc.subjectIzhikevich neuron modelen_US
dc.titleClassification of EEG Signals Using Spiking Neural Networksen_US
dc.typeConference Objecten_US

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