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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 1999/7/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Concurrent System Technology (CST) |
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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 |
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