The synchronization of chaotic systems

S Boccaletti, J Kurths, G Osipov, DL Valladares… - Physics reports, 2002 - Elsevier
Synchronization of chaos refers to a process wherein two (or many) chaotic systems (either
equivalent or nonequivalent) adjust a given property of their motion to a common behavior …

[HTML][HTML] Nonlinear dynamical analysis of EEG and MEG: review of an emerging field

CJ Stam - Clinical neurophysiology, 2005 - Elsevier
Many complex and interesting phenomena in nature are due to nonlinear phenomena. The
theory of nonlinear dynamical systems, also called 'chaos theory', has now progressed to a …

Seizure prediction: the long and winding road

F Mormann, RG Andrzejak, CE Elger, K Lehnertz - Brain, 2007 - academic.oup.com
The sudden and apparently unpredictable nature of seizures is one of the most disabling
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …

Nonlinear multivariate analysis of neurophysiological signals

E Pereda, RQ Quiroga, J Bhattacharya - Progress in neurobiology, 2005 - Elsevier
Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

[HTML][HTML] Is there chaos in the brain? II. Experimental evidence and related models

H Korn, P Faure - Comptes rendus biologies, 2003 - Elsevier
The search for chaotic patterns has occupied numerous investigators in neuroscience, as in
many other fields of science. Their results and main conclusions are reviewed in the light of …

Epileptic seizure prediction and control

LD Iasemidis - IEEE Transactions on Biomedical Engineering, 2003 - ieeexplore.ieee.org
Epileptic seizures are manifestations of epilepsy, a serious brain dynamical disorder second
only to strokes. Of the world's/spl sim/50 million people with epilepsy, fully 1/3 have seizures …

Epileptic seizures are preceded by a decrease in synchronization

F Mormann, T Kreuz, RG Andrzejak, P David… - Epilepsy research, 2003 - Elsevier
The exact mechanisms leading to the occurrence of epileptic seizures in humans are still
poorly understood. It is widely accepted, however, that the process of seizure generation is …

Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic

T Maiwald, M Winterhalder… - Physica D: nonlinear …, 2004 - Elsevier
Epilepsy is characterized by the spontaneous and unforeseeable occurrence of seizures,
during which the perception or behavior of patients is disturbed. The predictability of these …

[HTML][HTML] The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods

M Winterhalder, T Maiwald, HU Voss… - Epilepsy & Behavior, 2003 - Elsevier
The unpredictability of seizures is a central problem for all patients suffering from
uncontrolled epilepsy. Recently, numerous methods have been suggested that claim to …

[图书][B] Multiscale analysis of complex time series: integration of chaos and random fractal theory, and beyond

J Gao, Y Cao, W Tung, J Hu - 2007 - books.google.com
The only integrative approach to chaos and random fractal theory Chaos and random fractal
theory are two of the most important theories developed for data analysis. Until now, there …