Oscillatory neural network for dynamical associative memory

Jiu Chao Feng, Chi Kong Tse

Research output: Journal article publicationJournal articleAcademic researchpeer-review


A discrete time oscillatory neural network (DTONN) for the dynamical associative memory is proposed in this paper. The network reveals fruitful dynamical behaviors when applied to associative memory for hand-written character patterns. It can recall the stored non-orthogonal patterns from the network when it is activated by an initial pattern contaminated by noise. The network also demonstrates the synchronous oscillations and spatio-temporal chaos during the auto-evolutionary procedure with time.
Original languageEnglish
JournalAdvances in Modeling and Analysis B
Issue number1
Publication statusPublished - 1 Dec 1999

ASJC Scopus subject areas

  • Hardware and Architecture
  • Industrial and Manufacturing Engineering
  • Applied Mathematics
  • Modelling and Simulation


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