Vibrational resonance in a heterogeneous scale free network of neurons

Vibrational resonance (VR) is a phenomenon whereby the response of some dynamical systems to a weak low-frequency signal can be maximized with the assistance of an optimal intensity of another high-frequency signal. In this paper, we study the VR in a heterogeneous neural system having a complex network topology. We consider a scale-free network of neurons where the heterogeneity is in the intrinsic excitability of the individual neurons. It is shown that emergence of VR in heterogeneous neuron population requires less energy than a homogeneous population. We also find that electrical coupling strength among neurons plays a key role in determining the weak signal processing capacity of the heterogeneous population. Lastly, we investigate the influence of interneuronal link density on the VR and demonstrate that the energy needed to obtain the resonance grows with the increase in average degree. © 2014 Elsevier B.V.

Eser Adı
[dc.title]
Vibrational resonance in a heterogeneous scale free network of neurons
Yazar
[dc.contributor.author]
Uzuntarla, Muhammet
Yazar
[dc.contributor.author]
Yılmaz, Ergin
Yazar
[dc.contributor.author]
Wagemakers, Alexandre
Yazar
[dc.contributor.author]
Özer, Mahmut
Yayın Yılı
[dc.date.issued]
2015
Yayıncı
[dc.publisher]
Elsevier
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
Vibrational resonance (VR) is a phenomenon whereby the response of some dynamical systems to a weak low-frequency signal can be maximized with the assistance of an optimal intensity of another high-frequency signal. In this paper, we study the VR in a heterogeneous neural system having a complex network topology. We consider a scale-free network of neurons where the heterogeneity is in the intrinsic excitability of the individual neurons. It is shown that emergence of VR in heterogeneous neuron population requires less energy than a homogeneous population. We also find that electrical coupling strength among neurons plays a key role in determining the weak signal processing capacity of the heterogeneous population. Lastly, we investigate the influence of interneuronal link density on the VR and demonstrate that the energy needed to obtain the resonance grows with the increase in average degree. © 2014 Elsevier B.V.
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]
Diversity
Konu Başlıkları
[dc.subject]
Scale free networks
Konu Başlıkları
[dc.subject]
Vibrational resonance
Künye
[dc.identifier.citation]
Uzuntarla, M., Yilmaz, E., Wagemakers, A. ve Ozer, M. (2015). Vibrational resonance in a heterogeneous scale free network of neurons. Communications in Nonlinear Science and Numerical Simulation, 22(1), 367–374. doi:https://doi.org/10.1016/j.cnsns.2014.08.040
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
ISSN
[dc.identifier.issn]
1007-5704
Sponsor YAYINCI
[dc.description.sponsorship]
Ministerio de Ciencia e Innovación
Sponsor YAYINCI
[dc.description.sponsorship]
M.U. acknowledges support from Erasmus teaching staff mobility program. A.W. acknowledges the financial support from the Spanish Ministry of Science and Innovation under Project No. FIS2009-09898 .
İlk Sayfa Sayısı
[dc.identifier.startpage]
367
Son Sayfa Sayısı
[dc.identifier.endpage]
374
Dergi Adı
[dc.relation.journal]
Communications in Nonlinear Science and Numerical Simulation
Dergi Sayısı
[dc.identifier.issue]
01.Mar
Dergi Cilt Bilgisi
[dc.identifier.volume]
22
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1016/j.cnsns.2014.08.040
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/8498
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10 Eylül 2024 10:17
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Tıklayınız
neurons signal population heterogeneous network resonance energy processing determining Vibrational strength electrical homogeneous coupling influence capacity Elsevier degree average increase obtain Lastly needed demonstrate density interneuronal investigate heterogeneity requires intensity optimal assistance maximized low-frequency high-frequency
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