3 papers
physics.flu-dyn2025
Event-based complexity in atmospheric turbulence
Paolo Paradisi, Rita Cesari
Since the studies of Kolmogorov and Oboukhov in 1941, the problem of intermittent large velocity excursions was recognized to be one of the most intriguing and elusive aspects of t…
physics.comp-ph2025
Robustness of complexity estimation in event-driven signals against accuracy of event detection method
Marco Cafiso, Paolo Paradisi
Complexity has gained recent attention in machine learning for its ability to extract synthetic information from large datasets. Complex dynamical systems are characterized by temp…
q-bio.NC2024
Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs
Marco Cafiso, Paolo Paradisi
The Hopfield network model and its generalizations were introduced as a model of associative, or content-addressable, memory. They were widely investigated both as an unsupervised…