Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

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 …

Temporal lobe epilepsy is the most common form of epilepsy in adults. The pilocarpine-
treated rat model is used frequently to investigate temporal lobe epilepsy. The validity of the …

A" brain defibrillator" may be closer than we think. An epileptic seizure involves a
paroxysmal change in the activity of millions of neurons. Feedback control of seizures would …

To investigate the degree of interdependence of EEG signals, we have to use signal
analysis methods. Three of these are described and their performance is compared: the …

The mechanisms underlying the transition of brain activity toward epileptic seizures remain
unclear. Based on nonlinear analysis of both intracranial and scalp …

The degree of interdependence between intracranial EEG channels was investigated in four
epileptic patients with complex partial seizures of mesial temporal lobe origin. With a new …

Most of the feature extraction methods in existing brain–computer interfaces (BCIs) are
based on the dynamic behavior of separate signals, without using the coupling information …

Temporal lobe epilepsy is characterized by episodic paroxysmal electrical discharges (ictal
activity) originating in mesial structures of the temporal lobe. These discharges consist of …

The human brain, largely accepted as the most complex biological system known, is still far
from being understood in its parts or as a whole. More specifically, biological mechanisms of …