The importance of modeling in tCS

Let’s face it: frogs are not the most glamorous of animals…However, we owe a great deal to them! In 1780, Luigi Galvani found out that muscles of frog’s legs would twitch if in contact with electrical stimuli. Today we know that this is due to one remarkable property of biological tissues: the fact that they […]

Clustering Methods in Exploratory Analysis

Clustering methods are in charge of grouping sets of data objects with the aim of finding relationships within the objects that compose the data. Such a process allows the data scientist to find similarities within the data, draw inferences, find hidden patterns and also to reconstruct a possibly underlying data structure. For example the relative […]

Monitoring effects of Transcranial Current Stimulation with EEG, fMRI, MEG, NIRS.

Transcranial current stimulation (tCS) seems to be a powerful tool to make the link between brain function and disease. This has been demonstrated in current research. However, we have yet to fully understand the underlying neurobiological mechanisms of tCS. The goal of combining tCS with neurophysiological and neuroimaging tools is twofold: a) these techniques can […]

Heart beat monitoring – what can we learn?

Heart monitoring is becoming increasingly popular with the availability of health monitoring wristbands. Most of these units have built-in microprocessors that analyze the recorded signals (*1) to determine the heart rate – the frequency of the cardiac cycle (beats per minute). But, besides the heart rate, what can we learn from our heart? The cardiac […]

Disentangling the puzzle of ADHD

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by problems in paying attention[1] (the incapacity of attending with a necessary degree of constancy to any object), hyperkinetic activity (remarkable motor activity which appears urgent) and a lack of controlled behavior (unstable mood, fits of rage, tendency to aggressively or excitability) that interferes with […]

Brain, consciousness and complexity.

Various processes in natural sciences, such as the geometric shape of shores, rocks, plants, waves, organism trajectories, atmospheric flows and other phenomena that seem to present a higher level of complexity, may reveal self-similar or self-affine patterns under different resolutions, and although this structure may initially seem complex, it is actually a source of simplicity. […]