Presentation 1999/7/23
Coherence resonance in a noisy leaky Integrate and fire model
Tetsuya SHIMOKAWA, Khashayar PAKDAMAN, Shunsuke SATO,
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Abstract(in English) Experimental and theoretical investigations have shown that noise can alter signal transmission in sensory neuron, for a instance, by linearizing the input-output relationship, or enhances their response to leak signals through stochastic resonance. Furthermore it has been shown that, even in the absence of inputs, noise can increase the regularity in the firing of neurons. This phenomenon has been referred to as coherence resonance. We investigate leaky integrate and fire neuron model, because it is simple enough to develop a rigorous analysis and it captures essential aspects of neurons, namely, excitability and refractoriness. In this report, we review the first passage time analysis of the nonlinear response of a noisy leaky integrate and fire neuron model without any external signal, and we present some new results regarding coherence resonance.
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Keyword(in English) Leaky integrate-and-fire neuron model / first passage time probability density function / stochastic resonance / coherence resonance
Paper # CST99-26
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Committee CST
Conference Date 1999/7/23(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Coherence resonance in a noisy leaky Integrate and fire model
Sub Title (in English)
Keyword(1) Leaky integrate-and-fire neuron model
Keyword(2) first passage time probability density function
Keyword(3) stochastic resonance
Keyword(4) coherence resonance
1st Author's Name Tetsuya SHIMOKAWA
1st Author's Affiliation Department Of Systems and Human Science, Graduate School of Engineering Science, Osaka University()
2nd Author's Name Khashayar PAKDAMAN
2nd Author's Affiliation Department Of Systems and Human Science, Graduate School of Engineering Science, Osaka University
3rd Author's Name Shunsuke SATO
3rd Author's Affiliation Department Of Systems and Human Science, Graduate School of Engineering Science, Osaka University
Date 1999/7/23
Paper # CST99-26
Volume (vol) vol.99
Number (no) 207
Page pp.pp.-
#Pages 8
Date of Issue