Presentation | 1999/2/8 Reconstruction of Time Series via a Network of Stochastic Resonance Neurons Tomokazu Yanai, Isao Tokuda, Tomomasa Nagashima, Kazuyuki Aihara, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | As a new understanding of biological sensory mechanism for input signal detection, stochastic resonance phenomenon has been recently paid a great deal of attention. In particular, Collins et al. reports that a large network or stochastic resonance elements gives rise to a robust sensory mechanism for detecting a variety or complex input signals. In this study, we investigate the effectiveness of such stochastic resonance network to chaotic input signals. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Stochastic Resonance / Summing Network / Reconstruction / of Time Series / Chaos |
Paper # | NLP98-96 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1999/2/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Reconstruction of Time Series via a Network of Stochastic Resonance Neurons |
Sub Title (in English) | |
Keyword(1) | Stochastic Resonance |
Keyword(2) | Summing Network |
Keyword(3) | Reconstruction |
Keyword(4) | of Time Series |
Keyword(5) | Chaos |
1st Author's Name | Tomokazu Yanai |
1st Author's Affiliation | Department of Computer Science and Systems Engineering, Murolan Institute of Technology() |
2nd Author's Name | Isao Tokuda |
2nd Author's Affiliation | Department of Computer Science and Systems Engineering, Murolan Institute of Technology |
3rd Author's Name | Tomomasa Nagashima |
3rd Author's Affiliation | Department of Computer Science and Systems Engineering, Murolan Institute of Technology |
4th Author's Name | Kazuyuki Aihara |
4th Author's Affiliation | Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The University |
Date | 1999/2/8 |
Paper # | NLP98-96 |
Volume (vol) | vol.98 |
Number (no) | 582 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |