Who we are

We are a team of biomedical and electronic engineers developing data science technologies to investigate the dynamics and structure of complex physiological systems.

Our research ranges from statistical physics to computational neuroscience and physiology and focuses on the use of signal processing, time series analysis and information theory to assess interactions in network systems, with application spanning from brain connectivity to cardiovascular oscillations and network physiology.

News and Updates - 2025

Highlights on last papers: 

• Nov 2025: Our review on bivariate interaction measures (BIM) has been accepted for publication in Frontiers in Network Physiology. BIM toolbox available here: BIM toolbox.

• Oct 2025: Two companion papers about our new tool, Partial Information Rate Decomposition, are now published in Physical Review Letters and Physical Review E!

• Sep 2025: The collaborative effort with Ludovico Minati at UESTC in China has led to an important paper about networks of transistor chaotic oscillators published in Chaos, Solitons and Fractals

• Aug 2025: Valeria’s first paper 'Information-Theoretic Analysis of EEG Wave Amplitude and Heart Rate Variability Reveals the Time Scale-Dependent Nature of Brain–Heart Interactions' is published in IEEE Open Journal of Engineering in Medicine and Biology 

• Jul 2025: Chiara's work 'Partial information decomposition for discrete target and continuous source random variables' is now published in PRE.

• Mar 2025: Yuri's paper 'Exploring transient neurophysiological states through local and time-varying measures of information dynamics' is published in Applied Mathematics and Computation

• Feb 2025: New work on higher-order network representation in press in IEEE Transactions on Network Science and Engineering

• Jan 2025: Review on Brain-heart interactions accepted by IEEE Reviews in Biomedical Engineering! Preprint here