Epilepsy is a debilitating condition, primarily refractory individuals, leading to the search for
new efficient therapies. Electrical stimulation is an important method used for years to treat …

In this work, we proposed a novel way to estimate phase-lag synchronization in coupled
systems. This approach was applied into two systems: a directed-coupled Rössler-Lorenz …

We study scale-free networks of FitzHugh-Nagumo units whose collective dynamics exhibits
rare and recurrent events of high amplitude (extreme events). We investigate which units …

In this work, we propose changes in the structure of a neuronal network with the intention to
provoke strong synchronization to simulate episodes of epileptic seizure. Starting with a …

From population collapses to cell-fate decision, critical phenomena are abundant in complex
real-world systems. Among modelling theories to address them, the critical transitions …

The high dynamical complexity of the brain is related to its small-world topology, which
enable both segregated and integrated information processing capabilities. Several …

Epilepsy is growingly considered as a brain network disorder. In this study, epileptiform
discharges were induced by low-Mg 2+ in mouse entorhinal cortex-hippocampal slices, and …

In recent years, some studies brought the complex networks theory into neuroscience.
Connectivity patterns are widely studied and vary from the data acquisition method: fMRI …

In this paper we present connectivity patterns of evolving large scale epileptic networks. We
employed a cross-entropy measure in the frequency domain on EEG signals to infer the …

Epilepsy is growingly considered as a brain network disorder. In this study, epileptiform
discharges induced by low-Mg2+ were recorded with a microelectrode array. Dynamic …