Presentation 1998/5/15
Dynamics of an Ensemble of Leaky Integrate-and-Fire Neuron Models and Its Response to a Pulse Input
Seiji TANABE, Khashayar PAKDAMAN, Taishin NOMURA, Shunsuke SATO,
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Abstract(in English) We have derived analytically and numerically the stationary distribution of the membrane potentials of an ensemble of leaky integrate-and-fire neuron models in the presence of noise. For small noise, the distribution is similar to that of a free-running Ornstein-Uhlenbeck process, while at larger noise levels, the two distributions depart significantly from one another: due to resetting lower membrane potential values become more likely. Assuming that the amplitude of an input pulse is encoded by the fraction of units within the ensemble that fire within a short interval following the input arrival, we have computed the input-output mutual information for various input distributions. One key result that appears is that the presence of noise of appropriate amplitude can improve signal transmission, as attested by the mutual information being maximal at some intermediate noise level.
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Keyword(in English) sensory system / leaky integrate-and-fire model / noise / pulse input
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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) Dynamics of an Ensemble of Leaky Integrate-and-Fire Neuron Models and Its Response to a Pulse Input
Sub Title (in English)
Keyword(1) sensory system
Keyword(2) leaky integrate-and-fire model
Keyword(3) noise
Keyword(4) pulse input
1st Author's Name Seiji TANABE
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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