The theory of deterministic chaos addresses simple deterministic dynamics in which
nonlinearity gives rise to complex temporal behavior. Although biological neuronal networks …

Deterministic chaos offers a striking explanation for apparently irregular behavior, a
characteristic feature of brain electrical activity. The framework of the theory of non-linear …

Deterministic chaos offers a striking explanation for apparently irregular behavior of the
brain that is evidenced in the EEG. Recent developments in the physical–mathematical …

OBJECTIVE: The investigation of nonstationarity in complex, multivariable signals, such as
electroencephalographic (EEG) recordings, requires the application of different and novel …

We evaluate the capability of nonlinear time series analysis to extract features from brain
electrical activity (EEG) predictive of epileptic seizures. Time-resolved analysis of the EEG …

Brain electrical activity of 16 patients with temporal lobe epilepsy, recorded intracranially
during seizure‐free intervals as well as during transitions to the seizure state, was analysed …

This overview summarizes findings obtained from analyzing electroencephalographic (EEG)
recordings from epilepsy patients with methods from the theory of nonlinear dynamical …

An advanced characterization of the complicated dynamical system brain is one of science's
biggest challenges. Nonlinear time series analysis allows characterizing nonlinear …

Since its discovery by Hans Berger in 1929, the electroencephalogram (EEG) has been the
most utilized signal to clinically assess brain function. The enormous complexity of the EEG …

Epileptic seizures represent a sudden and transient change in the synchronised firing of
neuronal brain ensembles. While the transition of the collective neuronal activity towards the …