Dynamic connections in neural networks
Biological CyberneticsPublished 1 December 1982
Jerome A. Feldman
Citations181
SJR quartileQ2
SJR score0.52
SNIP0.78
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TL;DR
The purpose of this paper is to extend the methodology to cover several aspects of change and memory in massively parallel networks.
Abstract
Massively parallel (neural-like) networks are receiving increasing attention as a mechanism for expressing information processing models. By exploiting powerful primitive units and stability-preserving construction rules, various workers have been able to construct and test quite complex models, particularly in vision research. But all of the detailed technical work was concerned with the structure and behavior offixed networks. The purpose of this paper is to extend the methodology to cover several aspects of change and memory.
Keywords
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