Abstract
Phase synchronization is an important phenomenon that occurs in a wide variety of complex oscillatory processes. Measuring phase synchronization can therefore help to gain fundamental insight into nature. In this Letter we point out that synchronization analysis techniques can detect spurious synchronization, if they are fed with a superposition of signals such as in electroencephalography or magnetoencephalography data. We show how techniques from blind source separation can help to nevertheless measure the true synchronization and avoid such pitfalls.
| Original language | English |
|---|---|
| Article number | 084102 |
| Journal | Physical Review Letters |
| Volume | 94 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2005 Mar 4 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Measuring phase synchronization of superimposed signals. / Meinecke, Frank C.; Ziehe, Andreas; Kurths, Jürgen; Muller, Klaus.
In: Physical Review Letters, Vol. 94, No. 8, 084102, 04.03.2005.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Measuring phase synchronization of superimposed signals
AU - Meinecke, Frank C.
AU - Ziehe, Andreas
AU - Kurths, Jürgen
AU - Muller, Klaus
PY - 2005/3/4
Y1 - 2005/3/4
N2 - Phase synchronization is an important phenomenon that occurs in a wide variety of complex oscillatory processes. Measuring phase synchronization can therefore help to gain fundamental insight into nature. In this Letter we point out that synchronization analysis techniques can detect spurious synchronization, if they are fed with a superposition of signals such as in electroencephalography or magnetoencephalography data. We show how techniques from blind source separation can help to nevertheless measure the true synchronization and avoid such pitfalls.
AB - Phase synchronization is an important phenomenon that occurs in a wide variety of complex oscillatory processes. Measuring phase synchronization can therefore help to gain fundamental insight into nature. In this Letter we point out that synchronization analysis techniques can detect spurious synchronization, if they are fed with a superposition of signals such as in electroencephalography or magnetoencephalography data. We show how techniques from blind source separation can help to nevertheless measure the true synchronization and avoid such pitfalls.
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UR - http://www.scopus.com/inward/citedby.url?scp=18144384421&partnerID=8YFLogxK
U2 - 10.1103/PhysRevLett.94.084102
DO - 10.1103/PhysRevLett.94.084102
M3 - Article
C2 - 15783894
AN - SCOPUS:18144384421
VL - 94
JO - Physical Review Letters
JF - Physical Review Letters
SN - 0031-9007
IS - 8
M1 - 084102
ER -