Concurrent synchronization of neural networks via excitatory-only coupling with different topologies

被引：0

作者：

Corradini, M. L. ^{[1
]}

Cristofaro, A. ^{[2
]}

Giambo, R. ^{[1
]}

Giannoni, F. ^{[1
]}

Pettinari, S. ^{[1
]}

机构：

[1] Univ Camerino, Sch Sci & Technol, Via Madonna Carceri, I-62032 Camerino, MC, Italy

[2] Norwegian Univ Sci & Technol, Dept Engn Cybernet, N-7491 Trondheim, Norway

来源：

2016 EUROPEAN CONTROL CONFERENCE (ECC) | 2016年

关键词：

COMPLEX NETWORKS; OSCILLATORS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Concurrent synchronization of neural networks coupled via an excitatory-only protocol is addressed using contraction theory. Under certain conditions guaranteeing the existence of a flow-invariant subspace, coupling functions are designed so that both heterogeneous neural networks coupled via an excitatory-only protocol, and networks of nodes communicating over different media interconnected with an excitatory only method spontaneously synchronize. Applications to networks of Fitzhugh-Nagumo oscillators illustrate how to deal with the proposed architecture in practice.

引用

页码：861 / 866

页数：6

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