5 citations · 5 across the 3 of their papers we have counts for
3 papers
Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks
Luca Faes, Gorana Mijatovic, Laura Sparacino +1
Objective: This work introduces a framework for multivariate time series analysis aimed at detecting and quantifying collective emerging behaviors in the dynamics of physiological…
A Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Brain and Physiological Networks
Luca Faes, Gorana Mijatovic, Yuri Antonacci +7
While the standard network description of complex systems is based on quantifying links between pairs of system units, higher-order interactions (HOIs) involving three or more unit…
An information-theoretic framework to measure the dynamic interaction between neural spike trains
Gorana Mijatovic, Yuri Antonacci, Tatjana Loncar-Turukalo +2
Understanding the interaction patterns among simultaneous recordings of spike trains from multiple neuronal units is a key topic in neuroscience. However, an optimal approach of as…