• DocumentCode
    3039372
  • Title

    Linear response theory of stochastic resonance in a leaky integrate-and-fire neuron model

  • Author

    Shimokawa, Tetsuya ; Oka, Takayuki ; Sato, Shunsuke

  • Author_Institution
    Graduate Sch. of Eng., Osaka Univ., Japan
  • fYear
    2003
  • fDate
    20-22 Oct. 2003
  • Firstpage
    330
  • Lastpage
    331
  • Abstract
    Linear response theory has been the instrumental method to analyze the prototypical device for standard stochastic resonance, i.e. the particle in the double well potential. However, this method has not been used to characterize in excitable systems such as neuron membranes. In this work, we investigate the first order response of the canonical excitable neuron model, namely the leaky integrate-and-fire neuron model, and provide a theoretical framework to analyze the stochastic resonance for excitable system.
  • Keywords
    neural nets; neurophysiology; physiological models; stochastic processes; canonical excitable neuron model; canonical neuron model; double well potential; excitable systems; first order response; leaky integrate-and-fire neuron model; linear response theory; neuron membranes; prototypical device; stochastic resonance; Biomembranes; Gaussian noise; Instruments; Neurons; Potential well; Probability density function; Prototypes; Signal to noise ratio; Stochastic resonance; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on
  • Print_ISBN
    0-7803-7943-8
  • Type

    conf

  • DOI
    10.1109/APBME.2003.1302718
  • Filename
    1302718