This repository contains the code used in the the paper:

G. Baggio, V. Rutten, G. Hennequin, S. Zampieri "Efficient Communication over Complex Dynamical Networks: The Role of Matrix Non-Normality", Science Advances, vol. 6, no. 22, eaba2282, 2020.

• The folder rate contains the Python scripts for computing and plotting the behavior of the transmission rate over time for random and regular network topologies

• The folder rate_max_vs_noise contains the Python scripts for computing and plotting the behavior of the maximum transmission rate against readout noise level for random and regular network topologies

• The folder rate_max_vs_diameter contains the Python scripts for computing and plotting the behavior of the maximum transmission rate against network diameter for random and regular non-normal networks built via "directed stratification" procedure

• The folder c_elegans contains the Python scripts for computing and plotting the behavior of the transmission rate against transmission time for the chemical synapse network of the nematode C. elegans

Author : G. Baggio
E-mail : baggio [dot] giacomo [at] gmail [dot] com