Presentation 1998/5/15
Stochastic Resonance in the Leaky Integrate-and-Fire Neuron Model
Tetsuya SHIMOKAWA, Khashayar PAKDAMAN, Taishin NOMURA, Shunsuke SATO,
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Abstract(in English) The addition of noise of appropriate intensity improves the transmission of weak periodic signal in the leaky integrate-and-fire neuron model. In this report we study this phenomenon in the frequency domain, where it is characterized by the fact the output signal-to-noise ratio is maximized at an intermediate noise level. To this end, we first compute the interspike interval distribution of the model using a first-passage-time approach, and then derive the power spectral density of the spike train from the interval distribution. In the absence of periodic modulation, we compare the power spectral density with that of gamma and inverse Gaussian distribution. Finally, in the presence of periodic modulation, we investigate the parameter ranges where the model displays stochastic resonance in the sense that the signal-to-noise ratio goes through a maximum as the noise level is increased.
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Keyword(in English) Stochastic resonance / Leaky integrate-and-fire neuron model / power spectral density / signal-to-noise ratio
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Committee NLP
Conference Date 1998/5/15(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Stochastic Resonance in the Leaky Integrate-and-Fire Neuron Model
Sub Title (in English)
Keyword(1) Stochastic resonance
Keyword(2) Leaky integrate-and-fire neuron model
Keyword(3) power spectral density
Keyword(4) signal-to-noise ratio
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 Taishin NOMURA
3rd Author's Affiliation Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University
4th Author's Name Shunsuke SATO
4th Author's Affiliation Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University
Date 1998/5/15
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Volume (vol) vol.98
Number (no) 45
Page pp.pp.-
#Pages 8
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