Memoirs of the Faculty of Engineering, Yamaguchi University
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Memoirs of the Faculty of Engineering, Yamaguchi University Volume 31 Issue 1
published_at 1980
A Model of Associative Memory with a Function of Pattern Separation
パターン分離機能を用いた連想記憶
Ikeda Nobuhiko
Torioka Toyoshi
About This Article
Descriptions
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.
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