Hierarchical structure among invariant subspaces of chaotic neural networks

Citation
M. Komuro et K. Aihara, Hierarchical structure among invariant subspaces of chaotic neural networks, JPN J I A M, 18(2), 2001, pp. 335-357
Citations number
19
Categorie Soggetti
Mathematics,"Engineering Mathematics
Journal title
JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS
ISSN journal
09167005 → ACNP
Volume
18
Issue
2
Year of publication
2001
Pages
335 - 357
Database
ISI
SICI code
0916-7005(200106)18:2<335:HSAISO>2.0.ZU;2-8
Abstract
We analyse symmetrical structure among invariant subspaces in chaotic neura l networks with ability of dynamical association. In particular, we elucida te hierarchical structure, or lattice structure among invariant subspaces s upporting a skelton of associative dynamics. We'd like to dedicate this paper to the late Professor Masaya Yamaguti from whom we learned much.