Collective temporal coherence for subthreshold signal encoding on a stochastic small-world Hodgkin-Huxley neuronal network

We study the collective temporal coherence of a small-world network of coupled stochastic Hodgkin-Huxley neurons. Previous reports have shown that network coherence in response to a subthreshold periodic stimulus, thus subthreshold signal encoding, is maximal for a specific range of the fraction of randomly added shortcuts relative to all possible shortcuts, p, added to an initially locally connected network. We investigated this behavior further as a function of channel noise, stimulus frequency and coupling strength. We show that temporal coherence peaks when the frequency of the external stimulus matches that of the intrinsic subthreshold oscillations. We also find that large values of the channel noise, corresponding to small cell sizes, increases coherence for optimal values of the stimulus frequency and the topology parameter p. For smaller values of the channel noise, thus larger cell sizes, network coherence becomes insensitive to these parameters. Finally, the degree of coupling between neurons in the network modulates the sensitivity of coherence to topology, such that for stronger coupling the peak coherence is achieved with fewer added short cuts. © 2008 Elsevier B.V. All rights reserved.

Dergi Adı Physics Letters, Section A: General, Atomic and Solid State Physics
Dergi Cilt Bilgisi 372
Dergi Sayısı 43
Sayfalar 6498 - 6503
Yayın Yılı 2008
Eser Adı
[dc.title]
Collective temporal coherence for subthreshold signal encoding on a stochastic small-world Hodgkin-Huxley neuronal network
Yazar
[dc.contributor.author]
Özer, Mahmut
Yazar
[dc.contributor.author]
Uzuntarla, Muhammet
Yazar
[dc.contributor.author]
Kayıkcıoğlu, Temel
Yazar
[dc.contributor.author]
Graham, Lyle J.
Yayın Yılı
[dc.date.issued]
2008
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
We study the collective temporal coherence of a small-world network of coupled stochastic Hodgkin-Huxley neurons. Previous reports have shown that network coherence in response to a subthreshold periodic stimulus, thus subthreshold signal encoding, is maximal for a specific range of the fraction of randomly added shortcuts relative to all possible shortcuts, p, added to an initially locally connected network. We investigated this behavior further as a function of channel noise, stimulus frequency and coupling strength. We show that temporal coherence peaks when the frequency of the external stimulus matches that of the intrinsic subthreshold oscillations. We also find that large values of the channel noise, corresponding to small cell sizes, increases coherence for optimal values of the stimulus frequency and the topology parameter p. For smaller values of the channel noise, thus larger cell sizes, network coherence becomes insensitive to these parameters. Finally, the degree of coupling between neurons in the network modulates the sensitivity of coherence to topology, such that for stronger coupling the peak coherence is achieved with fewer added short cuts. © 2008 Elsevier B.V. All rights reserved.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
eng
Konu Başlıkları
[dc.subject]
Complex networks
Konu Başlıkları
[dc.subject]
Neurons
Konu Başlıkları
[dc.subject]
Stochastic process
Konu Başlıkları
[dc.subject]
Temporal coherence
Künye
[dc.identifier.citation]
Ozer, M., Uzuntarla, M., Kayikcioglu, T. ve Graham, L. J. (2008). Collective temporal coherence for subthreshold signal encoding on a stochastic small-world Hodgkin–Huxley neuronal network. Physics Letters A, 372(43), 6498–6503. doi:https://doi.org/10.1016/j.physleta.2008.09.007
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
ISSN
[dc.identifier.issn]
0375-9601
Sponsor YAYINCI
[dc.description.sponsorship]
Agence Nationale de la Recherche 219.01-880-5768 Human Frontier Science Program: RGP0049/2002
Sponsor YAYINCI
[dc.description.sponsorship]
This work has been supported by a grant from The Scientific and Technological Research Council of Turkey (TUBITAK), 219.01-880-5768 to Dr. Mahmut Ozer, and a HFSP grant (RGP0049/2002) and an Agence Nationale Recherche grant (FUNVISYNIN) to Dr. Lyle J. Graham. The authors also thank Dr. Daniele Marinazzo for his comments on the manuscript.
İlk Sayfa Sayısı
[dc.identifier.startpage]
6498
Son Sayfa Sayısı
[dc.identifier.endpage]
6503
Dergi Adı
[dc.relation.journal]
Physics Letters, Section A: General, Atomic and Solid State Physics
Dergi Sayısı
[dc.identifier.issue]
43
Dergi Cilt Bilgisi
[dc.identifier.volume]
372
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1016/j.physleta.2008.09.007
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/4742
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Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
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1
09.12.2022 tarihinden bu yana
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28 Mayıs 2024 16:08
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coherence network stimulus channel coupling values subthreshold frequency shortcuts temporal topology neurons parameters insensitive becomes larger smaller parameter corresponding degree optimal increases Finally between reserved rights Elsevier modulates achieved stronger sensitivity collective matches specific possible
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