Synchronization in heterogeneous FitzHugh-Nagumo networks with hierarchical architecture

Abstract

We study synchronization in heterogeneous FitzHugh-Nagumo networks. It is well known that heterogeneities in the nodes hinder synchronization when becoming too large. Here, we develop a controller to counteract the impact of these heterogeneities. We first analyze the stability of the equilibrium point in a ring network of heterogeneous nodes. We then derive a sufficient condition for synchronization in the absence of control. Based on these results we derive the controller providing synchronization for parameter values where synchronization without control is absent. We demonstrate our results in networks with different topologies. Particular attention is given to hierarchical (fractal) topologies, which are relevant for the architecture of the brain.

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Cited by in corpus (3)

• FitzHugh-Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena
• Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators
• Role of coupling delay in oscillatory activity in autonomous networks of excitable neurons with dissipation