Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …

A central challenge in neuroscience is how the brain organizes the information necessary to
orchestrate behaviour. Arguably, this whole-brain orchestration is carried out by a core …

We present an approach, framed in information theory, to assess nonlinear causality
between the subsystems of a whole stochastic or deterministic dynamical system. The …

A challenge for physiologists and neuroscientists is to map information transfer between
components of the systems that they study at different scales, in order to derive important …

Since the operative definition given by CWJ Granger of an idea expressed by N. Wiener, the
Wiener-Granger causality (WGC) has been one of the most relevant concepts exploited by …

Recently, methods have been developed to analyse couplings in dynamic systems. In the
field of medical analysis of complex cardiovascular and cardiorespiratory systems, there is …

Epilepsy is a malfunction of the brain that affects over 50 million people worldwide. Epileptic
seizures are usually characterized by an abnormal synchronized firing of neurons involved …

We investigate the state space reconstruction from multiple time series derived from
continuous and discrete systems and propose a method for building embedding vectors …

We investigate synchronization between the low-frequency oscillations of heart rate and
blood pressure having in humans a basic frequency close to 0.1 Hz. A method is proposed …