Dynamic connections in neural networks
- 1 December 1982
- journal article
- research article
- Published by Springer Nature in Biological Cybernetics
- Vol. 46 (1) , 27-39
- https://doi.org/10.1007/bf00335349
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.This publication has 14 references indexed in Scilit:
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