@inproceedings{5b358b7753d44b11a4ddfbfd255f11f6,
title = "Complexity of block-sequential update for symmetric neural networks",
abstract = "We prove that the dynamics of arbitrary neural networks (non necessarily symmetric) of size n can be simulated by symmetric neural nets of size 3n updated in a block-sequential mode. As a particular case we prove that the class of symmetric neural nets with arbitrary diagonal elements updated sequentially is universal i. e. it simulates any non-symmetric neural networks dynamics.",
author = "Eric Goles and Martin Matamala",
year = "1993",
language = "English",
isbn = "0780314212",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Publ by IEEE",
pages = "1469--1472",
editor = "Anon",
booktitle = "Proceedings of the International Joint Conference on Neural Networks",
note = "Proceedings of 1993 International Joint Conference on Neural Networks. Part 2 (of 3) ; Conference date: 25-10-1993 Through 29-10-1993",
}