In this paper, we will present and review the most usual methods to detect linear and
nonlinear causality between signals: linear Granger causality test (Geweke in J Am Stat …

Epilepsy is a common neurological disorder affecting more than 1.5 percent worldwide.
Twenty percent of epilepsies are drug resistant. Therefore, early detection of prediction of …

OBJECTIVE: Epilepsy, one of the most common neurological disorders, constitutes a unique
opportunity to study the dynamics of spatiotemporal state transitions in real, complex …

Cortical computation involves the formation of cooperative neuronal assemblies
characterized by synchronous oscillatory activity. A traditional method for the identification of …

Integrating the studies of epilepsy, neurosciences, computational neurosciences,
mathematics, physics, engineering, and medicine, this volume provides the first means to a …

OBJECTIVE: To explore and validate a novel stimulation and analysis paradigm proposed to
monitor spatial distribution and temporal changes of the excitability state in patients with …

The neural dynamics and mechanisms responsible for the transition from the interictal to the
ictal state (seizures) are unresolved questions in epilepsy. It has been suggested that a shift …

In an effort to understand basic functional mechanisms that can produce epileptic seizures,
we introduce some key features in a model of coupled neural populations that enable the …

Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures
due to abnormal or excessive neuronal activity in the brain. An estimated 50 million people …

In 2008, a group of clinicians, scientists, engineers, and industry representatives met to
discuss advances in the application of engineering technologies to the diagnosis and …