Chaotic intermittency is characterized by a signal that alternates aleatory between long
regular (pseudo-laminar) phases and irregular bursts (pseudo-turbulent or chaotic phases) …

Purpose: To examine the intralimbic localization and morphology of mesial temporal seizure
onsets and to correlate the findings with patterns of initial seizure spread and the presence …

It is currently believed that the mechanisms underlying spindle oscillations are related to
those that generate spike and wave (SW) discharges. The mechanisms of transition …

Quantification of complexity in neurophysiological signals has been studied using different
methods, especially those from information or dynamical system theory. These studies have …

Abstract Background and Objective Epilepsy is a neurological disorder that causes recurrent
and abrupt seizures which makes the patients insecure. Predicting seizures can reduce the …

In the current study, a novel model for human memory is proposed based on the chaotic
dynamics of artificial neural networks. This new model explains a biological fact about …

Generalised epileptic seizures are frequently accompanied by sudden, reversible transitions
from low amplitude, irregular background activity to high amplitude, regular spike–wave …

We focus on the implications that the underlying neuronal dynamics might have on the
possibility of anticipating seizures and designing an effective paradigm for their control …

Spike-wave discharges (SWD) are electroencephalographic hallmarks of absence epilepsy.
SWD are known to originate from thalamo-cortical neuronal network that normally produces …

In the present paper we consider the on-off intermittency phenomena observed in time
series of spontaneous paroxysmal activity in rats with genetic absence epilepsy. The method …