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 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.
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Keyword(in English) neural oscillator / ring inhibitory neural network / synchronization
Paper # NLP2013-85
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Conference Information
Committee NLP
Conference Date 2013/10/21(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
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
Date of Issue