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A Model of Associative Memory with a Function of Pattern Separation

Memoirs of the Faculty of Engineering, Yamaguchi University Volume 31 Issue 1 Page 119-124
published_at 1980
KJ00000156342.pdf
[fulltext] 444 KB
Title
パターン分離機能を用いた連想記憶
A Model of Associative Memory with a Function of Pattern Separation
Creators Ikeda Nobuhiko
Creators Torioka Toyoshi
Source Identifiers
It is well known that two properties are very important for associative memory. One of them is the property that the firing rate of key patterns is constant. The other is the property that the similarity among them is low. It is also known that a two-layer random neural net has a function of pattern separation, when the firing rate of the second layer is controlled at a low value. Therefore, we can use this neural net for producing patterns which are favorable for associative memory. We propose a model of associative memory with a net having a function of pattern separation and investigate the ability of recall in this model. From the result of our investigation, it is shown that a high recalling ability is obtained in this model.
Subjects
電気電子工学 ( Other)
Languages jpn
Resource Type departmental bulletin paper
Publishers 山口大学工学部
Date Issued 1980
File Version Version of Record
Access Rights open access
Relations
[ISSN]0372-7661
[NCID]AN00244228
Schools 工学部