Presentation | 2003/6/20 Retrieval property of an attractor network with depressing synapses Daisuke IDE, Narihisa MATSUMOTO, Masataka WATANABE, Masato OKADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Neurophysiological experiments show that the strength of synaptic connections can change on a short time scale. These changes depend on the history of presynaptic input. Using SCSNA, we study how synaptic depression influence the performance of attractor neural network in terms of its storage capacity and basins of attraction. We employ a binary discrete-time associative memory model. As a result, the stable retrieval is achieved and the basins of attraction are enlarged. In this work, we show the detailed mechanism in which the synaptic depression enlarges the basins of attraction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Depressing synapses / Associative memory model / Storage capacity / Basins of attraction / SCSNA |
Paper # | NC2003-20 |
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Committee | NC |
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Conference Date | 2003/6/20(1days) |
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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) | Retrieval property of an attractor network with depressing synapses |
Sub Title (in English) | |
Keyword(1) | Depressing synapses |
Keyword(2) | Associative memory model |
Keyword(3) | Storage capacity |
Keyword(4) | Basins of attraction |
Keyword(5) | SCSNA |
1st Author's Name | Daisuke IDE |
1st Author's Affiliation | Faculty of Engineering, University of Tokyo() |
2nd Author's Name | Narihisa MATSUMOTO |
2nd Author's Affiliation | "Intelligent Cooperation and Control", PRESTO, JST |
3rd Author's Name | Masataka WATANABE |
3rd Author's Affiliation | Faculty of Engineering, University of Tokyo |
4th Author's Name | Masato OKADA |
4th Author's Affiliation | "Intelligent Cooperation and Control", PRESTO, JST:Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN |
Date | 2003/6/20 |
Paper # | NC2003-20 |
Volume (vol) | vol.103 |
Number (no) | 153 |
Page | pp.pp.- |
#Pages | 6 |
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