Presentation | 2011-03-11 Analysis of Signal Transmission Efficiency in Coupled Inferior Olive Neurons Sou NOBUKAWA, Haruhiko NISHIMURA, Naofumi KATADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Schweighofer et al. have demonstrated in computer simulation for their Hodgkin-Huxley(HH) type compartmental model that chaotic irregular firing can be produced in the inferior olive(IO) network, and rich error signals for efficient cerebellar learning may be allowed by this chaotic effect. In this paper, focusing on the Velarde-Llinas IO neuron model which is consistent with experimental data in all main features of IO neuron membrane potential dynamics and is much simpler than HH model, we investigate the signal transmission of IO networks in both cases of chaotic resonance and stochastic resonance under the condition for sustaining IO neuron properties. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Inferior Olive / Neural Network / Signal Transmission / Chaotic Resonance / Stochastic Resonance |
Paper # | NLP2010-190 |
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Committee | NLP |
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Conference Date | 2011/3/3(1days) |
Place (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) | Analysis of Signal Transmission Efficiency in Coupled Inferior Olive Neurons |
Sub Title (in English) | |
Keyword(1) | Inferior Olive |
Keyword(2) | Neural Network |
Keyword(3) | Signal Transmission |
Keyword(4) | Chaotic Resonance |
Keyword(5) | Stochastic Resonance |
1st Author's Name | Sou NOBUKAWA |
1st Author's Affiliation | Graduate School of Applied Informatics, University of Hyogo() |
2nd Author's Name | Haruhiko NISHIMURA |
2nd Author's Affiliation | Graduate School of Applied Informatics, University of Hyogo |
3rd Author's Name | Naofumi KATADA |
3rd Author's Affiliation | Graduate School of Applied Informatics, University of Hyogo |
Date | 2011-03-11 |
Paper # | NLP2010-190 |
Volume (vol) | vol.110 |
Number (no) | 465 |
Page | pp.pp.- |
#Pages | 6 |
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