Biosignals and
Information Theory
Laboratory
University of Palermo
Biosignals and
Information Theory
Laboratory
University of Palermo
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.
Projects: PRIN project "High-Order Dynamical Networks in Computational Neuroscience and Physiology: an Information-Theoretic Framework" - HONEST - project meeting in Palermo on June 10, 2024 - see flyer here
Last papers:
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 memory utilization in neural point processes accepted in IEEE Transactions on Biomedical Engineering - preprint here
Feb 2025: Our main work presenting the framework we use to compute hierarchical interactions in network systems is published in Neurocomputing!
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
Dec 2024: Yuri and Chiara's paper 'Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain’s Motor Network', is accepted in IEEE Transactions on Biomedical Engineering
Nov 2024: Paper on feature selection methods to classify physiological stress, by Marta and Ivan, now published; check it out in Physiological measurement
Oct 2024: The visit of Laura to China led to the work "Chaotic dynamics and synchronization under tripartite couplings: analyses and experiments using single-transistor oscillators as metaphors of neural dynamics" by our friend Ludovico Minati, now published in Chaos Solitons and Fractals