Multi-Winners Self-organizing Episodic Associative Memory

Jiongtao Huang, Masafumi Hagiwara

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

We propose a new Episodic Associative Memory (EAM) named Multi-Winners Self-organizing EAM (MWS-EAM) which can represent analog scenes of an episode distributedly and can recall the next scene from the distributed representation. The proposed MWS-EAM represents any scene of an episode into the representation layer distributedly, and then stores the relation of the scenes with its representation and the representation with next scene into the bottom up weights and the top down weights, respectively. The trained proposed MWS-EAM can recall all of the scenes in the stored episode by receiving only one scene.

Original languageEnglish
Pages (from-to)3635-3640
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
Publication statusPublished - 1998 Dec 1
EventProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA
Duration: 1998 Oct 111998 Oct 14

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Multi-Winners Self-organizing Episodic Associative Memory'. Together they form a unique fingerprint.

  • Cite this