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 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.
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Keyword(in English) associative memory / macroscopic state equations / crosstalk noise / HASP
Paper # NC-95-129
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Committee NC
Conference Date 1996/3/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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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
Date of Issue