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Reinforcement learning for suppression of collective activity in oscillatory ensembles
Dmitriy Krylov, Dmitry V. Dylov, Michael Rosenblum
We present a use of modern data-based machine learning approaches to suppress self-sustained collective oscillations typically signaled by ensembles of degenerative neurons in the…
Solitary States and Partial Synchrony in Oscillatory Ensembles with Attractive and Repulsive Interactions
Erik Teichmann, Michael Rosenblum
We numerically and analytically analyze transitions between different synchronous states in a network of globally coupled phase oscillators with attractive and repulsive interactio…
Dynamical disentanglement in an analysis of oscillatory systems: an application to respiratory sinus arrhythmia
M. Rosenblum, M. Frühwirth, M. Moser +1
We develop a technique for the multivariate data analysis of perturbed self-sustained oscillators. The approach is based on the reconstruction of the phase dynamics model from obse…
Nonlinear phase coupling functions: a numerical study
M. Rosenblum, A. Pikovsky
Phase reduction is a general tool widely used to describe forced and interacting self-sustained oscillators. Here we explore the phase coupling functions beyond the usual first-ord…