From the 1 of 6 linked papers with an AI index.
6 papers
Synchronization, Kinematic Waves and Spike-Phase-Separation in Feedback Ising Neural Networks on Heterogeneous Graphs
Anna Poggialini, Irem Topal, Fabrizio Lombardi +1
The paper analyzes how structural heterogeneity in neural networks influences collective dynamics, showing that degree variability can trigger synchronized oscillations via a Hopf…
Scaling and tuning to criticality in resting-state human magnetoencephalography
Irem Topal, Anna Poggialini, Marco Dal Maschio +3
From 1/f noise to neuronal avalanches, evidence of scaling in brain activity has been increasingly linked to tuning to or near criticality. The concept of scaling is intimately rel…
Non-normal Dynamics on Non-reciprocal Networks: Reactivity and Effective Dimensionality in Neural Circuits
Anna Poggialini, Serena Di Santo, Pablo Villegas +2
Non-reciprocal interactions are a defining feature of many complex systems, biological, ecological, and technological, often pushing them far from equilibrium and enabling rich dyn…
Shortest-path percolation on scale-free networks
Minsuk Kim, Lorenzo Cirigliano, Claudio Castellano +4
The shortest-path percolation (SPP) model aims at describing the consumption and eventual exhaustion of a network's resources. Starting from a network containing a macroscopic conn…
Networks with many structural scales: a Renormalization Group perspective
Anna Poggialini, Pablo Villegas, Miguel A. Muñoz +1
Scale invariance profoundly influences the dynamics and structure of complex systems, spanning from critical phenomena to network architecture. Here, we propose a precise definitio…
Multi-scale Laplacian community detection in heterogeneous networks
Pablo Villegas, Andrea Gabrielli, Anna Poggialini +1
Heterogeneous and complex networks represent intertwined interactions between real-world elements or agents. Determining the multi-scale mesoscopic organization of clusters and int…