Ergodic basis pursuit leads to robust reconstruction of sparse network dynamics

Date

Oct 9, 2025

Time

3:00 PM - 3:45 PM

Speaker

Edmilson Roque

Affiliation

MPI PKS

Language

en

Main Topic

Biologie

Host

Organisers: Nikola Sadovek, Maximilian Wiesmann, Giulio Zucal

Description

Networks of coupled dynamical systems are successful models in diverse fields of science, ranging from physics to neuroscience. The network interaction structure impacts the dynamics; in fact, many malfunctions are associated with disorders in the network structure. Yet, typically, we cannot measure the interaction structure; we only have access to multivariate time series of nodes’ states. This led to considerable effort in reconstructing the network from multivariate data. This reconstruction problem is ill-posed for large networks, leading to the reconstruction of false network structures. In this talk, I will present an approach that uses the network dynamics’ statistical properties to ensure the exact reconstruction of weakly coupled sparse networks. Moreover, this approach exhibits robustness against noise. I will illustrate its reconstruction power using experimental multivariate time series data obtained from optoelectronic networks.

Last modified: Oct 9, 2025, 7:35:46 AM