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
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