NEW ARCHITECTURE FOR A MICROELECTRONIC IMPLEMENTATION OF NEURAL NETWORK MODELS.

A. Agranat*, A. Yariv

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

A generic architecture for realizing various neural network models is proposed. The connectivity problem is avoided by shifting the inputs to the neurons in a semiparallel manner using charge-coupled-device arrays. The synaptic interaction matrix can be loaded into the device in parallel. The proposed device can be implemented with present-day technologies.

Original languageAmerican English
Pagesiii/403-409
StatePublished - 1987
Externally publishedYes

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