Retrieval process of an associative memory with a general input-output function

Hidetoshi Nishimori, Ioan Opriş

研究成果: Article査読

29 被引用数 (Scopus)

抄録

The retrieval process of an associative memory with a general input-output function is studied by means of a signal-to-noise ratio analysis. We derive a set of recursion relations for macroscopic variables to describe the time development of the network. By taking the equilibrium limit of the recursion relations, we find that a certain type of nonmonotonic input-output relation of a single neuron yields an enhanced memory capacity of the network compared with the conventional monotonic relation. This behavior is in agreement with the prediction of Morita et al. who used numerical simulations as well as geometrical arguments to reach their conclusion. Our method reveals the relation between the type of the input-output function and the memory capacity in a generic associative memory.

本文言語English
ページ(範囲)1061-1067
ページ数7
ジャーナルNeural Networks
6
8
DOI
出版ステータスPublished - 1993
外部発表はい

ASJC Scopus subject areas

  • 認知神経科学
  • 人工知能

フィンガープリント

「Retrieval process of an associative memory with a general input-output function」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル