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

Takaya Miyano; Sadanori Higashino; Takako Tsutsui

doi:10.1587/nolta.2.128

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

Takaya Miyano, Sadanori Higashino, Takako Tsutsui

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Keywords: collective synchronization, data clustering, oscillators, feature pattern extraction, health science

JOURNAL FREE ACCESS

2011 Volume 2 Issue 1 Pages 128-138

DOI https://doi.org/10.1587/nolta.2.128

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Abstract

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.

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