| Presentation | 1997/2/6 Dynamical Associative Memory based on Synchronization in Chaotic Neural Network : Proposal for the Scenario via Spatio-Temporal Symmetry Recovering Bifurcation Tomomasa Nagashima, Yoshitaka Shiroki, Jun Miyazaki, Norikazu Hatakeyama, Isao Tokuda, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we have investigated dynamical bases for the phenomena of "dynamical associative memory" in a chaotic neural network. By the term dynamical associative memory, we mean a set of the memories, for instance, {Ai| i=1,2,...,M} , which have been stored in the neural network are retritved successively and irregularly. The phenomena are interesting, because they provide a possibility of linking the mamories stored in a neural network in general as already pointed out by some researchers, but also they may provide very typical systems in which the system symmetry works very nicely for acquring a new function of information processings (=dynamical associative memory). After summarizing our experimental results on a chaotic neural network for dynamical associative memory obtained by using the orthogonal stored patterns, where the important findings are the phenomena of chaotic self-switching between stored memories, we propose a theoretical frame for understanding the phenomena of chaotic self-switching through the notion : Spatio-Temporal Symmetry Recovering Bifurcation |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Dynamical Linkage of Associative Memories / Symmetry of Dynamical Systems / Chaotic Neural Network / Spatio-Temporal Symmetry / Symmetry Recovering Bifurcation |
| Paper # | NLP96-136,NC96-90 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1997/2/6(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Dynamical Associative Memory based on Synchronization in Chaotic Neural Network : Proposal for the Scenario via Spatio-Temporal Symmetry Recovering Bifurcation |
| Sub Title (in English) | |
| Keyword(1) | Dynamical Linkage of Associative Memories |
| Keyword(2) | Symmetry of Dynamical Systems |
| Keyword(3) | Chaotic Neural Network |
| Keyword(4) | Spatio-Temporal Symmetry |
| Keyword(5) | Symmetry Recovering Bifurcation |
| 1st Author's Name | Tomomasa Nagashima |
| 1st Author's Affiliation | Department of Qmputer Science and Systems Engineering,Muroran Institute of Technology() |
| 2nd Author's Name | Yoshitaka Shiroki |
| 2nd Author's Affiliation | Department of Qmputer Science and Systems Engineering,Muroran Institute of Technology |
| 3rd Author's Name | Jun Miyazaki |
| 3rd Author's Affiliation | Department of Qmputer Science and Systems Engineering,Muroran Institute of Technology |
| 4th Author's Name | Norikazu Hatakeyama |
| 4th Author's Affiliation | Department of Qmputer Science and Systems Engineering,Muroran Institute of Technology |
| 5th Author's Name | Isao Tokuda |
| 5th Author's Affiliation | Department of Qmputer Science and Systems Engineering,Muroran Institute of Technology |
| Date | 1997/2/6 |
| Paper # | NLP96-136,NC96-90 |
| Volume (vol) | vol.96 |
| Number (no) | 511 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |