Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1955
Title: Classification of Altruistic Punishment Decisions by Optical Neuroimaging and Machine Learning Methods
Authors: Erözden, Ozan
Şahin, Türkay
Akyürek, Güçlü
Filiz, Gözde
Çakar, Tuna
Keywords: decision-making
altruistic punishment
modelling
neuroimaging
Emerging Neuroscience
prefrontal cortex (PFC)
Publisher: IEEE
Source: 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.
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.
URI: https://hdl.handle.net/20.500.11779/1955
https://doi.org/10.1109/SIU59756.2023.10224029
ISBN: 979-8-3503-4355-7
ISSN: 2165-0608
Appears in Collections:Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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