We consider two mutually coupled neural populations represented by two FitzHugh-Nagumo systems prepared at parameter values at which no autonomous oscillations occur. Each system is driven by its own source of random fluctuations realized by Gaussian white noise. We show that an extended time-delayed feedback scheme is able to influence the global cooperative dynamics of the ensemble of neural populations by local application of the stimulus to a single system. We discuss effects on the stochastic synchronization of coupled neural oscillators in dependence upon the control parameters given by the time delay, feedback strength, and memory parameter. We show that increasing the memory parameter enhances the cooperative dynamics of the two subsystems.
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