Synchronization induced termination in neuronal networks
Vital functions which take place in the brain are accomplished through synchronized neural activities between interconnected neuronal populations. In healthy and unhealthy nerve system, rhythms in different frequencies can be recognized as they are responsible for neural synchronization. Despite this, in the case of global synchronization where oscillation power is the maximum, as observed in epileptic seizures, neural activity can terminate. In this study, effects of neural network characteristics synchronization emerges from on activity termination are computationally investigated. Stochastic Hodgkin-Huxley (H-H) equations are used in the simulations. The results show that synchronization increases when neurons have high synaptic conductance and due to this, strong synaptic current neurons exposed to terminates the firings. © 2017 IEEE.
| Yazar |
Çalım, Ali Ağaoğlu, Şükriye Nihal Uzuntarla, Muhammet |
| Yayın Türü | Proceedings |
| Tek Biçim Adres | https://hdl.handle.net/20.500.12628/7719 |
| Konu Başlıkları |
epilepsy
oscillation synchronization termination |
| Koleksiyonlar |
Fakülteler Mühendislik Fakültesi Biyomedikal Mühendisliği Bölümü Bildiri Koleksiyonu (Biyomedikal Mühendisliği Bölümü) Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed | SOBİAD Scopus İndeksli Yayınlar Koleksiyonu Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed | SOBİAD WoS İndeksli Yayınlar Koleksiyonu |
| Dergi Adı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
| Sayfalar | - |
| Yayın Yılı | 2017 |
| Eser Adı [dc.title] | Synchronization induced termination in neuronal networks |
| Yazar [dc.contributor.author] | Çalım, Ali |
| Yazar [dc.contributor.author] | Ağaoğlu, Şükriye Nihal |
| Yazar [dc.contributor.author] | Uzuntarla, Muhammet |
| Yayın Yılı [dc.date.issued] | 2017 |
| Yayıncı [dc.publisher] | Institute of Electrical and Electronics Engineers Inc. |
| Yayın Türü [dc.type] | proceedings |
| Açıklama [dc.description] | 25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703 |
| Özet [dc.description.abstract] | Vital functions which take place in the brain are accomplished through synchronized neural activities between interconnected neuronal populations. In healthy and unhealthy nerve system, rhythms in different frequencies can be recognized as they are responsible for neural synchronization. Despite this, in the case of global synchronization where oscillation power is the maximum, as observed in epileptic seizures, neural activity can terminate. In this study, effects of neural network characteristics synchronization emerges from on activity termination are computationally investigated. Stochastic Hodgkin-Huxley (H-H) equations are used in the simulations. The results show that synchronization increases when neurons have high synaptic conductance and due to this, strong synaptic current neurons exposed to terminates the firings. © 2017 IEEE. |
| Kayıt Giriş Tarihi [dc.date.accessioned] | 2019-12-23 |
| Açık Erişim Tarihi [dc.date.available] | 2019-12-23 |
| Yayın Dili [dc.language.iso] | tur |
| Konu Başlıkları [dc.subject] | epilepsy |
| Konu Başlıkları [dc.subject] | oscillation |
| Konu Başlıkları [dc.subject] | synchronization |
| Konu Başlıkları [dc.subject] | termination |
| Haklar [dc.rights] | info:eu-repo/semantics/closedAccess |
| Alternatif Başlık [dc.title.alternative] | Nöronal ağlarda senkronizasyona bağlı susma |
| Dergi Adı [dc.relation.journal] | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
| Tek Biçim Adres [dc.identifier.uri] | https://dx.doi.org/10.1109/SIU.2017.7960724 |
| Tek Biçim Adres [dc.identifier.uri] | https://hdl.handle.net/20.500.12628/7719 |
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