Virtual uteral inhibition in parallel activation models of associative memory

Authors:
James A. Reggia
Affiliations:
Department of Computer Science, University of Maryland, College Park, MD
Venue:
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Year:
1985

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Abstract

This paper describes a new theory of how spreading activation may occur in associative memory models formulated as parallel activation networks. The theory postulates that competition for activation by nodes/concepts in a network is a fundamental principle of memory retrieval. Using only excitatory connections between concepts, a specific implementation of this model is able to demonstrate "virtual lateral inhibition" between competitors and other interesting behaviors that have required use of explicit inhibitory connections in the past.