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Free keywords:
Synchronization; coupled oscillators (nonlinear dynamical systems); Neural networks (multicellular phenomena); Structures and organization in complex systems; neural nets
Abstract:
Entrainment by a pacemaker, representing an element with a higher frequency, is numerically investigated for several classes of random networks which consist of identical phase oscillators. We find that the entrainment frequency window of a network decreases exponentially with its depth, defined as the mean forward distance of the elements from the pacemaker. Effectively, only shallow networks can thus exhibit frequency locking to the pacemaker. The exponential dependence is also derived analytically as an approximation for large random asymmetric networks.
