Presentation | 1997/2/6 Dynamics of Linear Networks with Plural Spatio-Temporal Input Patterns Ryoichi Wada, Arata Okuyama, Kazutoshi Gohara, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Dynamics of neural networks with spatio-temporal input patterns can be analyzed by the Excited Attractor Model. When all Poincare maps associated with inputs are contractive transformation, the state of the network changes not on the continuous space but on the discrete fractal-like invariant set. This paper verifies it for linear networks of which Poincare maps can be determinded analytically. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Excited Attractor / Hyper Cylindrical Phase Space, Poincare Section / IFS / Contraction MaP / Fractal Transition / Linear Dynamics |
Paper # | NLP96-139,NC96-93 |
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Committee | NC |
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Conference Date | 1997/2/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Dynamics of Linear Networks with Plural Spatio-Temporal Input Patterns |
Sub Title (in English) | |
Keyword(1) | Excited Attractor |
Keyword(2) | Hyper Cylindrical Phase Space, Poincare Section |
Keyword(3) | IFS |
Keyword(4) | Contraction MaP |
Keyword(5) | Fractal Transition |
Keyword(6) | Linear Dynamics |
1st Author's Name | Ryoichi Wada |
1st Author's Affiliation | Faculty of Engineering, Hokkaido University() |
2nd Author's Name | Arata Okuyama |
2nd Author's Affiliation | Faculty of Engineering, Hokkaido University |
3rd Author's Name | Kazutoshi Gohara |
3rd Author's Affiliation | Faculty of Engineering, Hokkaido University |
Date | 1997/2/6 |
Paper # | NLP96-139,NC96-93 |
Volume (vol) | vol.96 |
Number (no) | 511 |
Page | pp.pp.- |
#Pages | 8 |
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