Presentation | 2013-09-27 A parameter learning method for Piecewise-Constant Chaos Oscillator with spike trains of desired ISI Tatsuro FURUSAWA, Tadashi TSUBONE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study, we consider a parameter identification method for piecewise-constant chaos oscillator (PWCCO) which can generate desired spike trains by machine learning. The oscillator can generate various spike trains in response to change its parameters. In this report, we give periodic spike trains to PWCCO as the teacher signal and apply the steepest descent method to identify parameters of PWCCO which can generate spike trains with the period same as the teacher signal. We demonstrate the effectiveness of our method in numerical simulation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Machine learning / Piecewise-constant chaos oscillator / Steepest descent method / Inter-Spike-Interval |
Paper # | CAS2013-47,NLP2013-59 |
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Committee | NLP |
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Conference Date | 2013/9/19(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) | A parameter learning method for Piecewise-Constant Chaos Oscillator with spike trains of desired ISI |
Sub Title (in English) | |
Keyword(1) | Machine learning |
Keyword(2) | Piecewise-constant chaos oscillator |
Keyword(3) | Steepest descent method |
Keyword(4) | Inter-Spike-Interval |
1st Author's Name | Tatsuro FURUSAWA |
1st Author's Affiliation | Nagaoka University of Technology() |
2nd Author's Name | Tadashi TSUBONE |
2nd Author's Affiliation | Nagaoka University of Technology |
Date | 2013-09-27 |
Paper # | CAS2013-47,NLP2013-59 |
Volume (vol) | vol.113 |
Number (no) | 225 |
Page | pp.pp.- |
#Pages | 4 |
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