Presentation | 1999/7/23 Linearization by noise in neural model Takayuki TAKAHATA, Tetsuya SHIMOKAWA, Seiji TANABE, Khashayar PAKDAMAN, Shunsuke SATO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We examine linearization by noise is periodically forced leaky integrate-and-fire neuron models. When the stimulus is a single sine, the cycle histogram takes on a sine like shape as the noise intensity is increased. This form of linearizaion is in agreement with experimental recordings. We extend these by analyzing the response of the model to a periodic signal composed of two sines, and in particular we examine whether the superposition principle holds. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | leaky integrate-and-fire model / noise / super-position principle |
Paper # | CST99-27 |
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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 | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Linearization by noise in neural model |
Sub Title (in English) | |
Keyword(1) | leaky integrate-and-fire model |
Keyword(2) | noise |
Keyword(3) | super-position principle |
1st Author's Name | Takayuki TAKAHATA |
1st Author's Affiliation | Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University() |
2nd Author's Name | Tetsuya SHIMOKAWA |
2nd Author's Affiliation | Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University |
3rd Author's Name | Seiji TANABE |
3rd Author's Affiliation | Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University |
4th Author's Name | Khashayar PAKDAMAN |
4th Author's Affiliation | Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University |
5th Author's Name | Shunsuke SATO |
5th Author's Affiliation | Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University |
Date | 1999/7/23 |
Paper # | CST99-27 |
Volume (vol) | vol.99 |
Number (no) | 207 |
Page | pp.pp.- |
#Pages | 7 |
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