Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli

Sevgi Silkin; Sila Köksal; Basak Zeynep Ergüven; Neslihan Serap Şengör

doi:10.1109/SIU59756.2023.10223868

Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli

Translated title of the contribution: A Reduced Mass Model for Modeling Cognitive Processes

Sevgi Silkin, Sila Köksal, Basak Zeynep Ergüven, Neslihan Serap Şengör

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In modeling cognitive process, mass models are utilized to exhibit the behavior of a neuron population. These models are not only used for understanding the neural behavior behind cognitive processes, but also can be exploited in brain- computer interface research and in the study of certain neurological diseases. In this study, a reduced equivalent to the well-known Jansen-Rit mass model which is employed for modeling the cortex is proposed. The proposed model is based on the Wilson-Cowan model. This proposed model demonstrates the ability to obtain frequencies related to brain dynamics, particularly in the context of brain-computer interface studies.

Translated title of the contribution	A Reduced Mass Model for Modeling Cognitive Processes
Original language	Turkish
Title of host publication	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350343557
DOIs	https://doi.org/10.1109/SIU59756.2023.10223868
Publication status	Published - 2023
Event	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey Duration: 5 Jul 2023 → 8 Jul 2023

Publication series

Name	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

Conference

Conference	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Country/Territory	Turkey
City	Istanbul
Period	5/07/23 → 8/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Access to Document

10.1109/SIU59756.2023.10223868

Cite this

Silkin, S., Köksal, S., Ergüven, B. Z., & Şengör, N. S. (2023). Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli. In 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU59756.2023.10223868

Silkin, Sevgi ; Köksal, Sila ; Ergüven, Basak Zeynep et al. / Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023).

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title = "Bili{\c s}sel S{\"u}re{\c c}lerin Modellenmesine Ili{\c s}kin Indirgenmi{\c s} Bir Yiǧin Modeli",

abstract = "In modeling cognitive process, mass models are utilized to exhibit the behavior of a neuron population. These models are not only used for understanding the neural behavior behind cognitive processes, but also can be exploited in brain- computer interface research and in the study of certain neurological diseases. In this study, a reduced equivalent to the well-known Jansen-Rit mass model which is employed for modeling the cortex is proposed. The proposed model is based on the Wilson-Cowan model. This proposed model demonstrates the ability to obtain frequencies related to brain dynamics, particularly in the context of brain-computer interface studies.",

keywords = "Brain Dynamics, Computational Neuroscience, Jansen-Rit Model, Mass Model, Wilson-Cowan Model",

author = "Sevgi Silkin and Sila K{\"o}ksal and Erg{\"u}ven, {Basak Zeynep} and {\c S}eng{\"o}r, {Neslihan Serap}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 ; Conference date: 05-07-2023 Through 08-07-2023",

year = "2023",

doi = "10.1109/SIU59756.2023.10223868",

language = "T{\"u}rk{\c c}e",

series = "31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023",

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booktitle = "31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023",

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Silkin, S, Köksal, S, Ergüven, BZ & Şengör, NS 2023, Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli. in 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Institute of Electrical and Electronics Engineers Inc., 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Istanbul, Turkey, 5/07/23. https://doi.org/10.1109/SIU59756.2023.10223868

Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli. / Silkin, Sevgi; Köksal, Sila; Ergüven, Basak Zeynep et al.
31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli

AU - Silkin, Sevgi

AU - Köksal, Sila

AU - Ergüven, Basak Zeynep

AU - Şengör, Neslihan Serap

PY - 2023

Y1 - 2023

N2 - In modeling cognitive process, mass models are utilized to exhibit the behavior of a neuron population. These models are not only used for understanding the neural behavior behind cognitive processes, but also can be exploited in brain- computer interface research and in the study of certain neurological diseases. In this study, a reduced equivalent to the well-known Jansen-Rit mass model which is employed for modeling the cortex is proposed. The proposed model is based on the Wilson-Cowan model. This proposed model demonstrates the ability to obtain frequencies related to brain dynamics, particularly in the context of brain-computer interface studies.

AB - In modeling cognitive process, mass models are utilized to exhibit the behavior of a neuron population. These models are not only used for understanding the neural behavior behind cognitive processes, but also can be exploited in brain- computer interface research and in the study of certain neurological diseases. In this study, a reduced equivalent to the well-known Jansen-Rit mass model which is employed for modeling the cortex is proposed. The proposed model is based on the Wilson-Cowan model. This proposed model demonstrates the ability to obtain frequencies related to brain dynamics, particularly in the context of brain-computer interface studies.

KW - Brain Dynamics

KW - Computational Neuroscience

KW - Jansen-Rit Model

KW - Mass Model

KW - Wilson-Cowan Model

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M3 - Konferans katkısı

AN - SCOPUS:85173545894

T3 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

BT - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

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Silkin S, Köksal S, Ergüven BZ, Şengör NS. Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli. In 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023). doi: 10.1109/SIU59756.2023.10223868

Bilişsel Süreçlerin Modellenmesine Ilişkin Indirgenmiş Bir Yiǧin Modeli

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