Constructing associative memories using neural networks

X. Xu, W. T. Tsai

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


This paper proposes using a generalized Hopfield's model, also known as the McCulloch-Pitts model, as associative memories. The system always converges to the nearest stored words. This is not true for Hopfield's model. We also determine the information capacity of this generalized model. Our result is better than those in the literature.

Original languageEnglish (US)
Pages (from-to)301-309
Number of pages9
JournalNeural Networks
Issue number3
StatePublished - 1990


  • Associative memory
  • Memory capacity
  • Neural network model

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence


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