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Chaos / Volume 21 / Issue 4 / FOCUS ISSUE: NONLINEAR AND STOCHASTIC PHYSICS IN BIOLOGY

Chaos 21, 047502 (2011); http://dx.doi.org/10.1063/1.3620401 (9 pages)

Stochastic resonance on a modular neuronal network of small-world subnetworks with a subthreshold pacemaker

Haitao Yu, Jiang Wang, Chen Liu, Bin Deng, and Xile Wei

School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People’s Republic of China

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(Received 30 May 2011; accepted 11 July 2011; published online 29 December 2011)

We study the phenomenon of stochastic resonance on a modular neuronal network consisting of several small-world subnetworks with a subthreshold periodic pacemaker. Numerical results show that the correlation between the pacemaker frequency and the dynamical response of the network is resonantly dependent on the intensity of additive spatiotemporal noise. This effect of pacemaker-driven stochastic resonance of the system depends extensively on the local and the global network structure, such as the intra- and inter-coupling strengths, rewiring probability of individual small-world subnetwork, the number of links between different subnetworks, and the number of subnetworks. All these parameters play a key role in determining the ability of the network to enhance the noise-induced outreach of the localized subthreshold pacemaker, and only they bounded to a rather sharp interval of values warrant the emergence of the pronounced stochastic resonance phenomenon. Considering the rather important role of pacemakers in real-life, the presented results could have important implications for many biological processes that rely on an effective pacemaker for their proper functioning.

© 2011 American Institute of Physics

Article Outline

  1. INTRODUCTION
  2. NETWORK MODEL
  3. STOCHASTIC RESONANCE
  4. CONCLUSIONS

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KEYWORDS and PACS

Keywords

brain, neural nets, neurophysiology, spatiotemporal phenomena, stochastic processes

PACS

  • 87.18.Sn

    Neural networks and synaptic communication

  • 87.10.Mn

    Stochastic modeling

  • 87.19.lc

    Noise in the nervous system

  • 87.18.Hf

    Spatiotemporal pattern formation in cellular populations

ARTICLE DATA

Digital Object Identifier
http://dx.doi.org/10.1063/1.3620401

PUBLICATION DATA

ISSN

1054-1500 (print)  
1089-7682 (online)

Publisher

$abstract.society.value is a Member of CrossRef American Institute of Physics

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