Presentation 2005-12-16
Burst firing ID model and its application
Shinya SUENAGA, Yoshihiro HAYAKAWA, Koji NAKAJIMA,
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Abstract(in English) We modify Inverse function Delayed (ID) model to obtain the ability to show burst firing activity. This modification is based on the relation between the ID model and Hodgkin-Huxley model. The burst firing behaviour in our new model is analysed by using phase diagram and the idea of the particle motion in a potential. In these analyses, it is important to classify variables of the new model into a slow variable and a fast variable. The model is able to be applied to solve the N-Queen problem, which is optimization problem, and achieves higher performance in this problem.
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Keyword(in English) Burst firing / Neural network / Optimization problem
Paper # NLP2005-95
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Conference Information
Committee NLP
Conference Date 2005/12/9(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Burst firing ID model and its application
Sub Title (in English)
Keyword(1) Burst firing
Keyword(2) Neural network
Keyword(3) Optimization problem
1st Author's Name Shinya SUENAGA
1st Author's Affiliation Laboratory for Brainware Laboratory for Nanoelectoronics and Spintronics, Research Institute of Electrical Communication, Tohoku University()
2nd Author's Name Yoshihiro HAYAKAWA
2nd Author's Affiliation Laboratory for Brainware Laboratory for Nanoelectoronics and Spintronics, Research Institute of Electrical Communication, Tohoku University
3rd Author's Name Koji NAKAJIMA
3rd Author's Affiliation Laboratory for Brainware Laboratory for Nanoelectoronics and Spintronics, Research Institute of Electrical Communication, Tohoku University
Date 2005-12-16
Paper # NLP2005-95
Volume (vol) vol.105
Number (no) 483
Page pp.pp.-
#Pages 6
Date of Issue