Atesçleyen Sinir Hücreleri ile Kurulmuş Bir Hesaplamali Bazal Çekirdek Devresi Modeli

Mustafa Yasir Ozdemir; Neslihan Serap Sengor

doi:10.1109/BIYOMUT.2017.8479123

Atesçleyen Sinir Hücreleri ile Kurulmuş Bir Hesaplamali Bazal Çekirdek Devresi Modeli

Translated title of the contribution: A computational model of basal ganglia circuit established with spiking neural network

Mustafa Yasir Ozdemir, Neslihan Serap Sengor

Department of Electronics and Communication Engineering

Istanbul Technical University

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

Abstract

A computational model has been established using the Spiking Neural Network model of the basal ganglia circuit, which plays an active role in cognitive processes such as decision making and movement selection. At this point, we aim to have an idea about cellular and group-based processes. The Izhikevich neuron model was used as a cell model and Hebbian learning rule was applied for synaptic connections. The results were evaluated on raster plots and firing rates and results which obtained with a similar work have been obtained nearly.

Translated title of the contribution	A computational model of basal ganglia circuit established with spiking neural network
Original language	Turkish
Title of host publication	2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538653401
DOIs	https://doi.org/10.1109/BIYOMUT.2017.8479123
Publication status	Published - 1 Oct 2018
Event	21st National Biomedical Engineering Meeting, BIYOMUT 2017 - Istanbul, Turkey Duration: 24 Nov 2017 → 26 Nov 2017

Publication series

Name	2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017

Conference

Conference	21st National Biomedical Engineering Meeting, BIYOMUT 2017
Country/Territory	Turkey
City	Istanbul
Period	24/11/17 → 26/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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10.1109/BIYOMUT.2017.8479123

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Ozdemir, M. Y., & Sengor, N. S. (2018). Atesçleyen Sinir Hücreleri ile Kurulmuş Bir Hesaplamali Bazal Çekirdek Devresi Modeli. In 2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017 Article 8479123 (2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIYOMUT.2017.8479123

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abstract = "A computational model has been established using the Spiking Neural Network model of the basal ganglia circuit, which plays an active role in cognitive processes such as decision making and movement selection. At this point, we aim to have an idea about cellular and group-based processes. The Izhikevich neuron model was used as a cell model and Hebbian learning rule was applied for synaptic connections. The results were evaluated on raster plots and firing rates and results which obtained with a similar work have been obtained nearly.",

author = "Ozdemir, {Mustafa Yasir} and Sengor, {Neslihan Serap}",

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doi = "10.1109/BIYOMUT.2017.8479123",

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Ozdemir, MY & Sengor, NS 2018, Atesçleyen Sinir Hücreleri ile Kurulmuş Bir Hesaplamali Bazal Çekirdek Devresi Modeli. in 2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017., 8479123, 2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017, Institute of Electrical and Electronics Engineers Inc., 21st National Biomedical Engineering Meeting, BIYOMUT 2017, Istanbul, Turkey, 24/11/17. https://doi.org/10.1109/BIYOMUT.2017.8479123

Atesçleyen Sinir Hücreleri ile Kurulmuş Bir Hesaplamali Bazal Çekirdek Devresi Modeli. / Ozdemir, Mustafa Yasir; Sengor, Neslihan Serap.
2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017. Institute of Electrical and Electronics Engineers Inc., 2018. 8479123 (2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017).

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

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PY - 2018/10/1

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AB - A computational model has been established using the Spiking Neural Network model of the basal ganglia circuit, which plays an active role in cognitive processes such as decision making and movement selection. At this point, we aim to have an idea about cellular and group-based processes. The Izhikevich neuron model was used as a cell model and Hebbian learning rule was applied for synaptic connections. The results were evaluated on raster plots and firing rates and results which obtained with a similar work have been obtained nearly.

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ER -

Atesçleyen Sinir Hücreleri ile Kurulmuş Bir Hesaplamali Bazal Çekirdek Devresi Modeli

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