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Conference Paper

Detecting Synchronization and Interrelations in Multivariate Time Series

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Parlitz,  Ulrich
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Luther,  Stefan
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Citation

Parlitz, U., & Luther, S. (2014). Detecting Synchronization and Interrelations in Multivariate Time Series. In 8th Conference of the ESGCO (pp. 169-170). IEEE.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-0F7F-9
Abstract
Different cases of generalized synchronization are discussed with emphasis on methods for detecting them from time series. In particular, we shall focus on synchronization resulting in complex (non-smooth and/or non-invertible) functions or relations between drive and response that can be detected by means of a data driven extension of the auxiliary systems test.