Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/1982
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dc.contributor.authorQuian Quiroga, R.en_GB
dc.contributor.authorKraskov, A.en_GB
dc.contributor.authorKreuz, T.en_GB
dc.contributor.authorGrassberger, P.en_GB
dc.date.accessioned2009-12-08T16:16:21Z-
dc.date.available2009-12-08T16:16:21Z-
dc.date.issued2002en_GB
dc.identifier.citationPhysical Review E, 2002, 65, (4), pp.041903-1-041903-14en_GB
dc.identifier.issn1539-3755en_GB
dc.identifier.urihttp://journals.aps.org/pre/abstract/10.1103/PhysRevE.65.041903en_GB
dc.identifier.urihttp://hdl.handle.net/2381/1982-
dc.description.abstractWe 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 the study of synchronization in real data. Moreover, in the particular case of EEG signals their use as complementary variables could be of clinical relevance.-
dc.formatMetadataen_GB
dc.language.isoenen_GB
dc.titlePerformance of different synchronization measures in real data: a case study on electroencephalographic signalsen_GB
dc.typeArticleen_GB
dc.identifier.doi10.1103/PhysRevE.65.041903-
dc.relation.raeRAE 2007-
Appears in Collections:Published Articles, Dept. of Engineering

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