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Emergence of Network Motifs in Deep Neural Networks
Matteo Zambra, Alberto Testolin, Amos Maritan
Network science can offer fundamental insights into the structural and functional properties of complex systems. For example, it is widely known that neuronal circuits tend to orga…
Upscaling human activity data: an ecological perspective
Anna Tovo, Samuele Stivanello, Amos Maritan +3
In recent years we have witnessed an explosion of data collected for different human dynamics, from email communication to social networks activities. Extract useful information fr…
Local symmetry determines the phases of linear chains: a simple model for the self-assembly of peptide
Tatjana Skrbic, Trinh X. Hoang, Amos Maritan +2
We discuss the relation between the emergence of new phases with broken symmetry within the framework of simple models of biopolymers. We start with a classic model for a chain mol…
Entropy production in Master Equations and Fokker-Planck Equations: facing the coarse-graining and recovering the information loss
Daniel Maria Busiello, Amos Maritan
Systems operating out of equilibrium exchange energy and matter with the environment, thus producing entropy in their surroundings. Since the entropy production depends on the curr…
True scale-free networks hidden by finite size effects
Matteo Serafino, Giulio Cimini, Amos Maritan +4
We analyze about two hundred naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free struc…
Thermodynamic uncertainty relations in a linear system
Deepak Gupta, Amos Maritan
We consider a Brownian particle in harmonic confinement of stiffness , in one dimension in the underdamped regime. The whole setup is immersed in a heat bath at temperature .…