A computational model to investigate the effect of dopamine on neural synchronization in striatum

Rahmi Elibol; Neslihan Serap Şengör

doi:10.1109/IJCNN.2015.7280762

A computational model to investigate the effect of dopamine on neural synchronization in striatum

Rahmi Elibol, Neslihan Serap Şengör

Department of Electronics and Communication Engineering

Istanbul Technical University

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

4 Citations (Scopus)

Abstract

Synchronous behavior of neural populations has been related to cognitive processes as attention, learning and has been considered as hallmarks of neurological disorders. The computational models of neural structures, even the simple ones, could give informative results which can improve our understanding of cognitive processes, arising due to collective activity of neurons. Here, a neurocomputational model for investigating the role of dopamine level on the synchronized behavior of medium spiny neurons in striatum is given.The model is composed of point neurons and dynamic synaptic connections and the excitatory connections of medium spiny neurons are modulated according to spike time dependent plasticity rule. The results convey that dopamine level has opposite effect on the synchronization of D1 and D2 type medium spiny neuron populations. Also, it is shown that spike timing dependent plasticity enhances the synchronized behavior.

Original language	English
Title of host publication	2015 International Joint Conference on Neural Networks, IJCNN 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479919604, 9781479919604, 9781479919604, 9781479919604
DOIs	https://doi.org/10.1109/IJCNN.2015.7280762
Publication status	Published - 28 Sept 2015
Event	International Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Ireland Duration: 12 Jul 2015 → 17 Jul 2015

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	2015-September

Conference

Conference	International Joint Conference on Neural Networks, IJCNN 2015
Country/Territory	Ireland
City	Killarney
Period	12/07/15 → 17/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Electroencephalography
Physiology

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10.1109/IJCNN.2015.7280762

Cite this

Elibol, R., & Şengör, N. S. (2015). A computational model to investigate the effect of dopamine on neural synchronization in striatum. In 2015 International Joint Conference on Neural Networks, IJCNN 2015 Article 7280762 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2015.7280762

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title = "A computational model to investigate the effect of dopamine on neural synchronization in striatum",

abstract = "Synchronous behavior of neural populations has been related to cognitive processes as attention, learning and has been considered as hallmarks of neurological disorders. The computational models of neural structures, even the simple ones, could give informative results which can improve our understanding of cognitive processes, arising due to collective activity of neurons. Here, a neurocomputational model for investigating the role of dopamine level on the synchronized behavior of medium spiny neurons in striatum is given.The model is composed of point neurons and dynamic synaptic connections and the excitatory connections of medium spiny neurons are modulated according to spike time dependent plasticity rule. The results convey that dopamine level has opposite effect on the synchronization of D1 and D2 type medium spiny neuron populations. Also, it is shown that spike timing dependent plasticity enhances the synchronized behavior.",

keywords = "Electroencephalography, Physiology",

author = "Rahmi Elibol and {\c S}eng{\"o}r, {Neslihan Serap}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Joint Conference on Neural Networks, IJCNN 2015 ; Conference date: 12-07-2015 Through 17-07-2015",

year = "2015",

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doi = "10.1109/IJCNN.2015.7280762",

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Elibol, R & Şengör, NS 2015, A computational model to investigate the effect of dopamine on neural synchronization in striatum. in 2015 International Joint Conference on Neural Networks, IJCNN 2015., 7280762, Proceedings of the International Joint Conference on Neural Networks, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, 12/07/15. https://doi.org/10.1109/IJCNN.2015.7280762

A computational model to investigate the effect of dopamine on neural synchronization in striatum. / Elibol, Rahmi; Şengör, Neslihan Serap.
2015 International Joint Conference on Neural Networks, IJCNN 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7280762 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2015-September).

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

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AU - Elibol, Rahmi

AU - Şengör, Neslihan Serap

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N2 - Synchronous behavior of neural populations has been related to cognitive processes as attention, learning and has been considered as hallmarks of neurological disorders. The computational models of neural structures, even the simple ones, could give informative results which can improve our understanding of cognitive processes, arising due to collective activity of neurons. Here, a neurocomputational model for investigating the role of dopamine level on the synchronized behavior of medium spiny neurons in striatum is given.The model is composed of point neurons and dynamic synaptic connections and the excitatory connections of medium spiny neurons are modulated according to spike time dependent plasticity rule. The results convey that dopamine level has opposite effect on the synchronization of D1 and D2 type medium spiny neuron populations. Also, it is shown that spike timing dependent plasticity enhances the synchronized behavior.

AB - Synchronous behavior of neural populations has been related to cognitive processes as attention, learning and has been considered as hallmarks of neurological disorders. The computational models of neural structures, even the simple ones, could give informative results which can improve our understanding of cognitive processes, arising due to collective activity of neurons. Here, a neurocomputational model for investigating the role of dopamine level on the synchronized behavior of medium spiny neurons in striatum is given.The model is composed of point neurons and dynamic synaptic connections and the excitatory connections of medium spiny neurons are modulated according to spike time dependent plasticity rule. The results convey that dopamine level has opposite effect on the synchronization of D1 and D2 type medium spiny neuron populations. Also, it is shown that spike timing dependent plasticity enhances the synchronized behavior.

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M3 - Conference contribution

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BT - 2015 International Joint Conference on Neural Networks, IJCNN 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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A computational model to investigate the effect of dopamine on neural synchronization in striatum

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