Presentation | 2014-01-22 Analysis of Bifurcation of Simple Spiking Neuron Model with Filters Shota KIRIKAWA, Toshimichi SAITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper studies a simple spiking neuron with filtered base signal. The dynamics depends crucially on the shape of the base signal. The neuron has periodic base signal applying a basic RC-Low Pass Filter to the periodic square source signal. As a key parameter varies, the shape of the base signal varies and the model can exhibit bifurcation phenomena of various periodic/chaotic spike-trains. Typical phenomena including period-doubling bifurcation and border-collision bifurcation can be analyzed by 1D phase map. These phenomena can be also confirmed with the bifurcation sets. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | spiking neuron / chaos / bifurcations |
Paper # | NLP2013-149 |
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Committee | NLP |
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Conference Date | 2014/1/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of Bifurcation of Simple Spiking Neuron Model with Filters |
Sub Title (in English) | |
Keyword(1) | spiking neuron |
Keyword(2) | chaos |
Keyword(3) | bifurcations |
1st Author's Name | Shota KIRIKAWA |
1st Author's Affiliation | Faculty of Science and Engineering, Department of Electrical and Electronics Engineering, Hosei University() |
2nd Author's Name | Toshimichi SAITO |
2nd Author's Affiliation | Faculty of Science and Engineering, Department of Electrical and Electronics Engineering, Hosei University |
Date | 2014-01-22 |
Paper # | NLP2013-149 |
Volume (vol) | vol.113 |
Number (no) | 383 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |