Feature extraction and hypothesis testing using collective synchronization in a network of nonsymmetrically coupled phase oscillators

抄録

We have devised a method for hypothesis testing for the major features of multivariate data on the basis of collective synchronization in a network of nonsymmetrically coupled phase oscillators subject to a variant of Kuramoto's dynamics. We show through numerical experiments that nonsymmetric coupling allows testing whether the given test vectors match the major features.