Time-Sequential Self-Organization of Hierarchical Neural Networks

Part of Neural Information Processing Systems 0 (NIPS 1987)

Authors

Ronald Silverman, Andrew Noetzel

Abstract

Self-organization of multi-layered networks can be realized time-sequential organization of successive neural layers. by Lateral inhibition operating in the surround of firing cells in each for unsupervised capture of excitation patterns presented by the previous layer. By presenting patterns of organization, higher implicit in the pattern set.

in co-ordination with network self(cid:173)

the hierarchy capture concepts

increasing complexity,