We study synchronization in delay-coupled neural networks of heterogeneousnodes. It is well known that heterogeneities in the nodes hindersynchronization when becoming too large. We show that an adaptive tuning of theoverall coupling strength can be used to counteract the effect of theheterogeneity. Our adaptive controller is demonstrated on ring networks ofFitzHugh-Nagumo systems which are paradigmatic for excitable dynamics but canalso -- depending on the system parameters -- exhibit self-sustained periodicfiring. We show that the adaptively tuned time-delayed coupling enablessynchronization even if parameter heterogeneities are so large that excitablenodes coexist with oscillatory ones.
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