Effect of noises on two-layer hodgkin-huxley neuronal network

  • Authors:

  • Jun Liu;Zhengguo Lou;Guang Li

  • Affiliations:

  • Key Lab of Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, P.R. China;Key Lab of Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, P.R. China;Key Lab of Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, P.R. China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
  • Year:
  • 2005

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Abstract

Stochastic resonance (SR) effect has been discovered in non-dynamical threshold systems such as sensory systems. This paper presents a network simulating basic structure of a sensory system to study SR. The neuronal network consists of two layers of the Hodgkin-Huxley (HH) neurons. Compared with single HH model, subthreshold stimulating signals do not modulate output signal-noise ratio, thus a fixed level of noise from circumstance can induce SR for the various stimulating signals. Numeric experimental results also show that noises do not always deteriorate the capability of the detection of suprathreshold input signals.