Time-Sequential Self-Organization of Hierarchical Neural Networks
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.
Cite
Text
Silverman and Noetzel. "Time-Sequential Self-Organization of Hierarchical Neural Networks." Neural Information Processing Systems, 1987.Markdown
[Silverman and Noetzel. "Time-Sequential Self-Organization of Hierarchical Neural Networks." Neural Information Processing Systems, 1987.](https://mlanthology.org/neurips/1987/silverman1987neurips-timesequential/)BibTeX
@inproceedings{silverman1987neurips-timesequential,
title = {{Time-Sequential Self-Organization of Hierarchical Neural Networks}},
author = {Silverman, Ronald H. and Noetzel, Andrew S.},
booktitle = {Neural Information Processing Systems},
year = {1987},
pages = {709-714},
url = {https://mlanthology.org/neurips/1987/silverman1987neurips-timesequential/}
}