Performance of different synchronization measures in real data: A case study on electroencephalographic signals
Forschungszentrum Jülich · John von Neumann Institute for Computing · +1 more institution
Abstract
We study the synchronization between left and right hemisphere rat electroencephalographic (EEG) channels by using various synchronization measures, namely nonlinear interdependences, phase synchronizations, mutual information, cross correlation, and the coherence function. In passing we show a close relation between two recently proposed phase synchronization measures and we extend the definition of one of them. In three typical examples we observe that except mutual information, all these measures give a useful quantification that is hard to be guessed beforehand from the raw data. Despite their differences, results are qualitatively the same. Therefore, we claim that the applied measures are valuable for…
Citation impact
- FWCI
- 21.01
- Percentile
- 100%
- References
- 43
Authors
4- RQRodrigo Quian QuirogaCorresponding
Forschungszentrum Jülich, John von Neumann Institute for Computing
- AKAlexander Kraskov
Forschungszentrum Jülich, John von Neumann Institute for Computing
- TKThomas Kreuz
University of Bonn, Forschungszentrum Jülich, John von Neumann Institute for Computing
- PGPeter Grassberger
Forschungszentrum Jülich, John von Neumann Institute for Computing
Topics & keywords
- Synchronization (alternating current)
- Electroencephalography
- Phase synchronization
- Coherence (philosophical gambling strategy)
- Mutual information
- Computer science
- Phase coherence
- Raw data