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

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2015 International Joint Conference on Neural Networks, IJCNN 2015
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781479919604, 9781479919604, 9781479919604, 9781479919604
DOI'lar	https://doi.org/10.1109/IJCNN.2015.7280762
Yayın durumu	Yayınlandı - 28 Eyl 2015
Etkinlik	International Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Ireland Süre: 12 Tem 2015 → 17 Tem 2015

Yayın serisi

Adı	Proceedings of the International Joint Conference on Neural Networks
Hacim	2015-September

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Joint Conference on Neural Networks, IJCNN 2015
Ülke/Bölge	Ireland
Şehir	Killarney
Periyot	12/07/15 → 17/07/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Belgeye Erişim

10.1109/IJCNN.2015.7280762

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 7280762 (Proceedings of the International Joint Conference on Neural Networks; Hac. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2015.7280762

@inproceedings{2e9cb171dedc4291ba6fa68495a46895,

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",

month = sep,

day = "28",

doi = "10.1109/IJCNN.2015.7280762",

language = "English",

series = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 International Joint Conference on Neural Networks, IJCNN 2015",

address = "United States",

}

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, hac. 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; Hac. 2015-September).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A computational model to investigate the effect of dopamine on neural synchronization in striatum

AU - Elibol, Rahmi

AU - Şengör, Neslihan Serap

PY - 2015/9/28

Y1 - 2015/9/28

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.

KW - Electroencephalography

KW - Physiology

UR - https://www.scopus.com/pages/publications/84951200303

U2 - 10.1109/IJCNN.2015.7280762

DO - 10.1109/IJCNN.2015.7280762

M3 - Conference contribution

AN - SCOPUS:84951200303

T3 - Proceedings of the International Joint Conference on Neural Networks

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Joint Conference on Neural Networks, IJCNN 2015

Y2 - 12 July 2015 through 17 July 2015

ER -

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

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