Retrieval process of an associative memory with non-monotonic input-output function

Hidetoshi Nishimori, Ioan Opris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 equilibrium limit of the recursion relations, we find that a certain type of non-monotonic input-output relation of a single neuron yields an enhanced memory capacity than the conventional monotonic relation. This result combined with Monte Carlo simulations confirms the prediction of Morita et al and reveals new aspects in the retrieval process.

Original languageEnglish
Title of host publication1993 IEEE International Conference on Neural Networks
Editors Anon
PublisherPubl by IEEE
Pages353-358
Number of pages6
ISBN (Print)0780312007
Publication statusPublished - 1993 Jan 1
Externally publishedYes
Event1993 IEEE International Conference on Neural Networks - San Francisco, CA, USA
Duration: 1993 Mar 281993 Apr 1

Publication series

Name1993 IEEE International Conference on Neural Networks

Conference

Conference1993 IEEE International Conference on Neural Networks
CitySan Francisco, CA, USA
Period93/3/2893/4/1

ASJC Scopus subject areas

  • Engineering(all)
  • Control and Systems Engineering
  • Software
  • Artificial Intelligence

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  • Cite this

    Nishimori, H., & Opris, I. (1993). Retrieval process of an associative memory with non-monotonic input-output function. In Anon (Ed.), 1993 IEEE International Conference on Neural Networks (pp. 353-358). (1993 IEEE International Conference on Neural Networks). Publ by IEEE.