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Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver

  • Jun Liu
  • Jian Wu
  • Zhengguo Lou
  • Guang Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)

Abstract

Stochastic resonance phenomenon in a biological sensory system has been studied through signal detection theories and psychophysical experiments. There is a conflict between the real experiments and the traditional signal detection theory for stochastic resonance because the latter treats the receiver as linear model. This paper presents a two-layer summing network of Hodgkin-Huxley (HH) neurons and a summing network of threshold devices to model the receiver, respectively. The simulation results indicate that the relevant index of signal detectability exhibit the stochastic resonance characteristics.

Keywords

Stochastic Resonance Power Spectrum Density Psychophysical Experiment Spike Sequence Stochastic Resonance Phenomenon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jun Liu
    • 1
  • Jian Wu
    • 1
  • Zhengguo Lou
    • 1
  • Guang Li
    • 1
  1. 1.Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of EducationZhejiang UniversityHangzhouP.R. China

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