DYNAMIC CONNECTIONS IN NEURAL NETWORKS
DYNAMIC CONNECTIONS IN NEURAL NETWORKS
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DOI：
10.1007/bf00335349
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发表时间：
1982-01-01
影响因子：
1.9
通讯作者：
FELDMAN, JA
中科院分区：
文献类型：
--
作者：
FELDMAN, JA
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, particuarly in [human] vision research. But all of the detailed technical work was concerned with the structure and behavior of fixed networks. The methodology is extended to cover several aspects of change and memory.
