| Presentation | 1998/11/17 Integrating Neural Network Modules based on Chaos, and Its Pattern Recalling and Internal Dynamics Akira Sano, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nervous system has a lot of functional modules. On the other hand, the functional modules must functionally integrate in order that the brain works as an information system. In this paper, the aspect of chaos for integrating neural network modules is studied with two-body Nozawa model. Characteristics of this model are analyzed from the view point both of the pattern recalling and the internal dynamics. Integration of the neural network modules based on chaos is not only autonomously but also to generate novel memories and functions by the interaction between the modules. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural network module / Chaos / Functional integration / Nozawa model / Pattern recalling / Hebb rule |
| Paper # | NC98-63 |
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| Committee | NC |
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| Conference Date | 1998/11/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Integrating Neural Network Modules based on Chaos, and Its Pattern Recalling and Internal Dynamics |
| Sub Title (in English) | |
| Keyword(1) | Neural network module |
| Keyword(2) | Chaos |
| Keyword(3) | Functional integration |
| Keyword(4) | Nozawa model |
| Keyword(5) | Pattern recalling |
| Keyword(6) | Hebb rule |
| 1st Author's Name | Akira Sano |
| 1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
| Date | 1998/11/17 |
| Paper # | NC98-63 |
| Volume (vol) | vol.98 |
| Number (no) | 401 |
| Page | pp.pp.- |
| #Pages | 8 |
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