Presentation | 1996/3/18 Derivation of macroscopic state equations for mutually inhibitory network of HASP Masaki Kawamura, Yuzo Hirai, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Associative memory HASP consists of hetero-associative memory (S layer) and mutually inhibitory network (A layer). We have shown that by considering the static distribution probability of synapses, the performance of HASP overwhelms that of hetero-associative memory. But we neglected the dynamics of A layer. In this study, we derive a set of macroscopic state equations of A layer. The theoretical analysis is supported by the results of computer simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | associative memory / macroscopic state equations / crosstalk noise / HASP |
Paper # | NC-95-129 |
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Conference Information | |
Committee | NC |
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Conference Date | 1996/3/18(1days) |
Place (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) | Derivation of macroscopic state equations for mutually inhibitory network of HASP |
Sub Title (in English) | |
Keyword(1) | associative memory |
Keyword(2) | macroscopic state equations |
Keyword(3) | crosstalk noise |
Keyword(4) | HASP |
1st Author's Name | Masaki Kawamura |
1st Author's Affiliation | Master's Degree Program in Scientific Technology, University of Tsukuba() |
2nd Author's Name | Yuzo Hirai |
2nd Author's Affiliation | Institute of Information Sciences and Electronics, University of Tsukuba |
Date | 1996/3/18 |
Paper # | NC-95-129 |
Volume (vol) | vol.95 |
Number (no) | 598 |
Page | pp.pp.- |
#Pages | 8 |
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