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Mathematical model for the self-organization of neural networks

✍ Scribed by L. P. Csernai; J. Zimányi

Publisher: Springer-Verlag
Year: 1979
Tongue: English
Weight: 523 KB
Volume: 34
Category: Article
ISSN: 0340-1200
DOI: 10.1007/bf00336856

No coin nor oath required. For personal study only.

✦ Synopsis

Mutual inhibition between neurons combined with a learning principle similar to that proposed by Hebb is shown to secure a powerful self-organizing property for neural networks. Numerical analysis reveals that the system investigated always organizes itself into the same final state from any arbitrarily chosen initial state.

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