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Endogenous fields enhanced stochastic resonance in a randomly coupled neuronal network

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  • Deng, Bin
  • Wang, Lin
  • Wang, Jiang
  • Wei, Xi-le
  • Yu, Hai-tao

Abstract

Endogenous field, evoked by structured neuronal network activity in vivo, is correlated with many vital neuronal processes. In this paper, the effects of endogenous fields on stochastic resonance (SR) in a randomly connected neuronal network are investigated. The network consists of excitatory and inhibitory neurons and the axonal conduction delays between neurons are also considered. Numerical results elucidate that endogenous field feedback results in more rhythmic macroscope activation of the network for proper time delay and feedback coefficient. The response of the network to the weak periodic stimulation can be notably enhanced by endogenous field feedback. Moreover, the endogenous field feedback delay plays a vital role in SR. We reveal that appropriately tuned delays of the feedback can either induce the enhancement of SR, appearing at every integer multiple of the weak input signal’s oscillation period, or the depression of SR, appearing at every integer multiple of half the weak input signal’s oscillation period for the same feedback coefficient. Interestingly, the parameters of low-passed filter which is used in obtaining the endogenous field feedback signal play a subtle role in SR.

Suggested Citation

  • Deng, Bin & Wang, Lin & Wang, Jiang & Wei, Xi-le & Yu, Hai-tao, 2014. "Endogenous fields enhanced stochastic resonance in a randomly coupled neuronal network," Chaos, Solitons & Fractals, Elsevier, vol. 68(C), pages 30-39.
    • Handle: RePEc:eee:chsofr:v:68:y:2014:i:c:p:30-39
    DOI: 10.1016/j.chaos.2014.07.006
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    1. Yilmaz, Ergin & Uzuntarla, Muhammet & Ozer, Mahmut & Perc, Matjaž, 2013. "Stochastic resonance in hybrid scale-free neuronal networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5735-5741.
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