Presentation 1999/7/23
Spike Coding of Chaotic Time Series via a Network of Stochastic Resonance Neurons
Tomokazu Yanai, Isao Tokuda, Kazuyuki Aihara, Tomomasa Nagashima,
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Abstract(in English) A network of stochastic resonance neurons is introduced for encoding the topological information of chaotic dynamics in the interspike intervals (ISIs) of a detector neuron. The numerical experiments show the network capability of coding the chaotic dynamics efficiently in the ISIs even in the presence of strong noise.
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Keyword(in English) Neural Coding / Interspike Interval / Chaos / Stochastic Resonance / Neural Network
Paper # CST99-25
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Conference Information
Committee CST
Conference Date 1999/7/23(1days)
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Registration To Concurrent System Technology (CST)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spike Coding of Chaotic Time Series via a Network of Stochastic Resonance Neurons
Sub Title (in English)
Keyword(1) Neural Coding
Keyword(2) Interspike Interval
Keyword(3) Chaos
Keyword(4) Stochastic Resonance
Keyword(5) Neural Network
1st Author's Name Tomokazu Yanai
1st Author's Affiliation Department of Computer Science and Systems Engineering, Muroran Institute of Technology()
2nd Author's Name Isao Tokuda
2nd Author's Affiliation Department of Computer Science and Systems Engineering, Muroran Institute of Technology
3rd Author's Name Kazuyuki Aihara
3rd Author's Affiliation Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The University of Tokyo
4th Author's Name Tomomasa Nagashima
4th Author's Affiliation Department of Computer Science and Systems Engineering, Muroran Institute of Technology
Date 1999/7/23
Paper # CST99-25
Volume (vol) vol.99
Number (no) 207
Page pp.pp.-
#Pages 5
Date of Issue