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Unbiased detection of phase locking in multivariate signals
Axel Hutt, Andreas Daffertshofer and Ulrich Steinmetz
We present a cluster method for the detection of meta-stable states in multivariate periodic time series. In due to the topology of periodic data, we formulate a $K$-Means clustering. The method is illustrated using simulated multivariate phase dynamics, in which temporal segments of phase-locked states are registered.