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;
2017-01-01
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 in questo prodotto:
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