Nonlinearity in normal human EEG: cycles, temporal asymmetry, nonstationarity and randomness, not chaos

From MaRDI portal
Publication:2564317

DOI10.1007/s004220050304zbMath0861.92007OpenAlexW2023739715WikidataQ52292075 ScholiaQ52292075MaRDI QIDQ2564317

Milan Paluš

Publication date: 19 March 1997

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s004220050304




Related Items

Linear and nonlinear causality between signals: methods, examples and neurophysiological applicationsSurrogate data for hypothesis testing of physical systemsDetecting high-dimensional determinism in time series with application to human movement dataConstruction of multivariate surrogate sets from nonlinear data using the wavelet transformParameterized entropy analysis of EEG following hypoxic-ischemic brain injuryOn the estimation of phase synchronization, spurious synchronization and filteringNonlinear, non-invasive method for seizure anticipation in focal epilepsyQuantitative complexity analysis in multi-channel intracranial EEG recordings from epilepsy brainsOn the evidence of deterministic chaos in ECG: Surrogate and predictability analysisChaotic signal induced delay decay in Hodgkin-Huxley neuronEstimating measurement noise in a time series by exploiting nonstationarityDoes composite index of NYSE represents chaos in the long time scale?STRANGE NONCHAOTIC ATTRACTOR IN HIGH-DIMENSIONAL NEURAL SYSTEMCausality, dynamical systems and the arrow of timeNonextensive entropy measure of EEG following brain injury from cardiac arrestEnhancing dominant modes in nonstationary time series by means of the symbolic resonance analysisThe role of nonlinearity in computing graph-theoretical properties of resting-state functional magnetic resonance imaging brain networksSymbolic dynamics and complexity in a physiological time seriesCharacterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy