Milan Palus
Institute of Computer Science,
Academy of Sciences of the Czech Republic
Pod vodárenskou vezí 2,
182 07 Prague 8, Czech Republic
E-mail: mp@cs.cas.cz
V. Komarek, Z. Hrncir,
K. Sterbova
Clinic of Paediatric Neurology,
2nd Medical Faculty of Charles University
V uvalu 84, 150 06 Prague 5 - Motol, Czech Republic
An information-theoretic approach for studying synchronization phenomena in experimental time series is presented and demonstrated in analysis of EEG recordings of an epileptic patient. Two levels of synchronization leading to seizures are quantified and ``directions of information flow'' (drive-response relationships) are identified.