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. © 2016 EUCA.
Concurrent synchronization of neural networks via excitatory-only coupling with different topologies / Corradini, Maria Letizia; Cristofaro, Andrea; Giambo', Roberto; Giannoni, Fabio; Pettinari, S.. - (2016), pp. 861-866. (Intervento presentato al convegno 2016 European Control Conference (ECC 2016) tenutosi a Aalborg; Denmark; 29 June 2016 through 1 July 2016) [10.1109/ECC.2016.7810397].
Concurrent synchronization of neural networks via excitatory-only coupling with different topologies
CRISTOFARO, ANDREA
;
2016
Abstract
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. © 2016 EUCA.| File | Dimensione | Formato | |
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