A combined multi-winner multidirectional associative memory

Jiongtao Huang, Masafumi Hagiwara

Research output: Contribution to journalReview article

13 Citations (Scopus)

Abstract

We propose a new multidirectional associative memory (MAM) termed combined multi-winner MAM (CMW-MAM) using a distributed representation paradigm in this paper. The proposed CMW-MAM stores and recalls information hierarchically by the distributed representations which are automatically generated in the networks. The proposed CMW-MAM can handle analog information and it can store and recall composite many-to-many memory structures such as episodes-to-episodes associations. The association properties for the storage of composite many-to-many memory structures such as associations from some episodes to other episodes are studied. The basic properties for many-to-many association such as storage capacity, noise performance and robustness are also investigated in detail.

Original languageEnglish
Pages (from-to)369-389
Number of pages21
JournalNeurocomputing
Volume48
Issue number1-4
DOIs
Publication statusPublished - 2002 Oct

Keywords

  • Analog pattern
  • Associative memory
  • Distributed representation
  • Episodes-to-episodes association
  • Multi-winner

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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