Controlling the spontaneous spiking regularity via channel blocking on Newman-Watts networks of Hodgkin-Huxley neurons

We investigate the regularity of spontaneous spiking activity on Newman-Watts small-world networks consisting of biophysically realistic Hodgkin-Huxley neurons with a tunable intensity of intrinsic noise and fraction of blocked voltage-gated sodium and potassium ion channels embedded in neuronal membranes. We show that there exists an optimal fraction of shortcut links between physically distant neurons, as well as an optimal intensity of intrinsic noise, which warrant an optimally ordered spontaneous spiking activity. This doubly coherence resonance-like phenomenon depends significantly on, and can be controlled via, the fraction of closed sodium and potassium ion channels, whereby the impacts can be understood via the analysis of the firing rate function as well as the deterministic system dynamics. Potential biological implications of our findings for information propagation across neural networks are also discussed. © EPLA, 2009.

Dergi Adı EPL
Dergi Cilt Bilgisi 86
Dergi Sayısı 4
Sayfalar -
Yayın Yılı 2009
Eser Adı
[dc.title]
Controlling the spontaneous spiking regularity via channel blocking on Newman-Watts networks of Hodgkin-Huxley neurons
Yazar
[dc.contributor.author]
Özer, Mahmut
Yazar
[dc.contributor.author]
Perc, Matjaž
Yazar
[dc.contributor.author]
Uzuntarla, Muhammet
Yayın Yılı
[dc.date.issued]
2009
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
We investigate the regularity of spontaneous spiking activity on Newman-Watts small-world networks consisting of biophysically realistic Hodgkin-Huxley neurons with a tunable intensity of intrinsic noise and fraction of blocked voltage-gated sodium and potassium ion channels embedded in neuronal membranes. We show that there exists an optimal fraction of shortcut links between physically distant neurons, as well as an optimal intensity of intrinsic noise, which warrant an optimally ordered spontaneous spiking activity. This doubly coherence resonance-like phenomenon depends significantly on, and can be controlled via, the fraction of closed sodium and potassium ion channels, whereby the impacts can be understood via the analysis of the firing rate function as well as the deterministic system dynamics. Potential biological implications of our findings for information propagation across neural networks are also discussed. © EPLA, 2009.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
eng
Künye
[dc.identifier.citation]
Ozer, M., Perc, M. ve Uzuntarla, M. (2009). Controlling the spontaneous spiking regularity via channel blocking on Newman-Watts networks of Hodgkin-Huxley neurons. EPL (Europhysics Letters), 86(4), 40008. doi:10.1209/0295-5075/86/40008
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
ISSN
[dc.identifier.issn]
0295-5075
Dergi Adı
[dc.relation.journal]
EPL
Dergi Sayısı
[dc.identifier.issue]
4
Dergi Cilt Bilgisi
[dc.identifier.volume]
86
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1209/0295-5075/86/40008
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/4909
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
18
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
16 Nisan 2024 22:00
Google Kontrol
Tıklayınız
fraction sodium optimal channels intensity intrinsic potassium activity neurons spontaneous networks spiking firing analysis understood information impacts whereby closed controlled deterministic function across neural findings depends discussed propagation implications biological Potential dynamics system significantly distant
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms