The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Synchronization as adjustment of information rates: Detection from bivariate time series
Abstract
An information-theoretic approach for studying synchronization phenomena in experimental bivariate time series is presented. "Coarse-grained" information rates are introduced and their ability to indicate generalized synchronization as well as to establish a "direction of information flow" between coupled systems, i.e., to discern the driving from the driven (response) system, is demonstrated using numerically generated time series from unidirectionally coupled chaotic systems. The method introduced is then applied in a case study of electroencephalogram recordings of an epileptic patient. Synchronization events leading to seizures have been found on two levels of organization of brain tissues and "directions of information flow" among brain areas have been identified. This allows localization of the primary epileptogenic areas, also confirmed by magnetic resonance imaging and pasitron emission tomography scans.
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Cites
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Fundamentals of synchronization in chaotic systems, concepts, and applications
Pecora, L. M., Carroll, T. L., Johnson, G. A., Mar, D. J., & Heagy, J. F. (1997) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166278 · Cited by 862
Heartbeat synchronized with ventilation
Schäfer, C., Rosenblum, M. G., Kurths, J., & Abel, H.-H. (1998) · Nature · doi:10.1038/32567 · Cited by 731
Cited by
The synchronization of chaotic systems
Boccaletti, S., Kurths, J., Osipov, G., Valladares, D. L., & Zhou, C. S. (2002) · Physics Reports · doi:10.1016/s0370-1573(02)00137-0 · Cited by 2,764
Nonlinear multivariate analysis of neurophysiological signals
Pereda, E., Quiroga, R. Q., & Bhattacharya, J. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.10.003 · Cited by 1,076
Transfer entropy—a model-free measure of effective connectivity for the neurosciences
Vicente, R., Wibral, M., Lindner, M., & Pipa, G. (2011) · Journal of Computational Neuroscience · doi:10.1007/s10827-010-0262-3 · Cited by 1,014
Causality detection based on information-theoretic approaches in time series analysis
HLAVACKOVASCHINDLER, K., PALUS, M., VEJMELKA, M., & BHATTACHARYA, J. (2007) · Physics Reports · doi:10.1016/j.physrep.2006.12.004 · Cited by 800
Identification of coupling direction: Application to cardiorespiratory interaction
Rosenblum, M. G., Cimponeriu, L., Bezerianos, A., Patzak, A., & Mrowka, R. (2002) · Physical Review E · doi:10.1103/physreve.65.041909 · Cited by 261
Metadata
- Authors
- Paluš, M., Komárek, V., Hrnčíř, Z., & Štěrbová, K.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2001-03-28
- Volume
- 63
- Issue
- 4
- Pages
- 046211-046211
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2076927242
- Cited by
- 336
- References
- 3
- FWCI
- 5.80
- Type
- journal article
- Language
- en
- Open access
- closed
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