activity
20192024
most citedFunctional observability and subspace reconstruction in nonlinear systems

16 citations · 32 across the 5 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2024

Topological analysis of brain dynamical signals indicates signatures of seizure susceptibility

Maxime Lucas, Damien Francois, Laurent Mombaerts +3

Epilepsy is known to drastically alter brain dynamics during seizures (ictal periods), but its effects on background (non-ictal) brain dynamics remain poorly understood. To investi…

nlin.CD2023★ 16 cited

Functional observability and subspace reconstruction in nonlinear systems

Arthur N. Montanari, Leandro Freitas, Daniele Proverbio +1

Time-series analysis is fundamental for modeling and predicting dynamical behaviors from time-ordered data, with applications in many disciplines such as physics, biology, finance,…

nlin.AO2022★ 6 cited

Buffering variability in cell regulation motifs close to criticality

Daniele Proverbio, Arthur N. Montanari, Alexander Skupin +1

Bistable biological regulatory systems need to cope with stochastic noise to fine-tune their function close to bifurcation points. Here, we study stability properties of this regim…

math.OC2020

Robust synchronization of heterogeneous robot swarms on the sphere

Johan Markdahl, Daniele Proverbio, Jorge Goncalves

Synchronization on the sphere is important to certain control applications in swarm robotics. Of recent interest is the Lohe model, which generalizes the Kuramoto model from the ci…

q-bio.CB2019★ 6 cited

Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system model

Daniele Proverbio, Marco Maggiora

Chemotaxis, the movement of an organism in response to chemical stimuli, is a typical feature of many microbiological systems. In particular, the social amoeba \textit{Disctyosteli…

q-bio.CB2019★ 4 cited

A Multi-agent approach for simulations of micro-biological systems

Daniele Proverbio, Luca Gallo, Barbara Passalacqua +2

Using a Multi-agent systems paradigm, the present project develops, validates and exploits a computational that simulates micro-biological complex systems, namel…