Characteristics of Hebbian-Type Associative Memories with Quantized Interconnections

Pau Choo Chung, Ching Tsorng Tsai, Yung Nien Sun

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


The effects of quantized Hebbian-type associative memories (HAM's) on storage capacity and hardware implementations are explored in this paper. The quantizations include a two-level strategy and a three-level strategy using a cutoff threshold in which the interconnection weights of both strategies are restricted to binary memory points on each synapse. The restricted interconnection weights enable a digital or an analog HAM to be implemented more space efficiently. The three-level quantized network with sparse connectivity among neurons has further simplified analog circuits in the dedicated hardwares. Results of simulation and theory show that the three-level quantized network with a properly selected cutoff threshold possesses higher storage capacity than the two-level quantized network.

Original languageEnglish
Pages (from-to)168-171
Number of pages4
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Issue number2
Publication statusPublished - 1994 Feb

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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