Presentation | 2013-10-28 Synchronization of Ring Inhibitory Neural Network with Polygonal Structure Yuki SHOJI, Yoko UWATE, Yoshihumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Some oscillation models of neural network were proposed in late years (ex. neural oscillator, ring inhibitory neural network, etc). In particular, the ring inhibitory neural network has simple structure to observe an oscillation phenomenon. This model changes the oscillation by combined methods. In this paper, we focus on the input and output of neurons composed network and it is showed that the oscillation of the ring inhibitory neural network. In addition, we consider characteristic and terms of this model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural oscillator / ring inhibitory neural network / synchronization |
Paper # | NLP2013-85 |
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Committee | NLP |
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Conference Date | 2013/10/21(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) | Synchronization of Ring Inhibitory Neural Network with Polygonal Structure |
Sub Title (in English) | |
Keyword(1) | neural oscillator |
Keyword(2) | ring inhibitory neural network |
Keyword(3) | synchronization |
1st Author's Name | Yuki SHOJI |
1st Author's Affiliation | Electrical and Electronic Engineering, Tokushima University() |
2nd Author's Name | Yoko UWATE |
2nd Author's Affiliation | Electrical and Electronic Engineering, Tokushima University |
3rd Author's Name | Yoshihumi NISHIO |
3rd Author's Affiliation | Electrical and Electronic Engineering, Tokushima University |
Date | 2013-10-28 |
Paper # | NLP2013-85 |
Volume (vol) | vol.113 |
Number (no) | 271 |
Page | pp.pp.- |
#Pages | 4 |
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