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
Link To Document :
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