Classification of Altruistic Punishment Decisions by Optical Neuroimaging and Machine Learning Methods

dc.contributor.author Erözden, Ozan
dc.contributor.author Şahin, Türkay
dc.contributor.author Akyürek, Güçlü
dc.contributor.author Filiz, Gözde
dc.contributor.author Çakar, Tuna
dc.date.accessioned 2023-10-18T12:06:11Z
dc.date.available 2023-10-18T12:06:11Z
dc.date.issued 2023
dc.description.abstract Altruistic punishment (third-party punishment) is important in terms of maintaining social norms and promoting prosocial behavior. This study examined data obtained using the near infrared spectroscopy (fNIRS) method to predict altruistic punishment decisions. It was found that specific neural activity patterns were significantly related to decisions regarding the punishment of the perpetrator. This research contributes to the development of social decision-making models and helps advance our understanding of the cognitive and neural processes involved in third-party punishments.
dc.description.sponsorship IEEE,TUBITAK BILGEM,Turkcell
dc.identifier.citation Çakar, T., Filiz, G., Şahin, T., Akyürek, G., & Erözden, O. (2023, July). Classification of Altruistic Punishment Decisions by Optical Neuroimaging and Machine Learning Methods. In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
dc.identifier.doi 10.1109/SIU59756.2023.10224029
dc.identifier.isbn 9798350343557
dc.identifier.issn 2165-0608
dc.identifier.scopus 2-s2.0-85173534058
dc.identifier.uri https://hdl.handle.net/20.500.11779/1955
dc.identifier.uri https://doi.org/10.1109/SIU59756.2023.10224029
dc.language.iso tr
dc.publisher IEEE
dc.relation.ispartof 2023 31st Signal Processing and Communications Applications Conference (SIU)
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Decision-making
dc.subject Altruistic punishment
dc.subject Modelling
dc.subject Neuroimaging
dc.subject Emerging neuroscience
dc.subject Prefrontal cortex (pfc)
dc.title Classification of Altruistic Punishment Decisions by Optical Neuroimaging and Machine Learning Methods
dc.type Conference Object
dspace.entity.type Publication
gdc.author.institutional Çakar, Tuna
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gdc.description.department Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
gdc.description.endpage 4
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 1
gdc.description.woscitationindex Conference Proceedings Citation Index - Science - Conference Proceedings Citation Index - Social Science & Humanities
gdc.identifier.openalex W4386212640
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gdc.openalex.normalizedpercentile 0.49
gdc.opencitations.count 0
gdc.plumx.crossrefcites 1
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gdc.plumx.scopuscites 2
gdc.publishedmonth Temmuz
gdc.relation.journal 31st IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUL 05-08, 2023 -- Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEY
gdc.relation.journal 2023 31st Signal Processing and Communications Applications Conference, Siu
gdc.scopus.citedcount 2
gdc.virtual.author Akyürek, Güçlü
gdc.virtual.author Çakar, Tuna
gdc.virtual.author Erözden, Ozan
gdc.wos.citedcount 2
gdc.wos.collaboration Uluslararası işbirliği ile yapılmayan - HAYIR
gdc.wos.documenttype Proceedings Paper
gdc.wos.indexdate 2023
gdc.wos.publishedmonth Temmuz
gdc.yokperiod YÖK - 2022-23
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