Realistic large-scale networks display an heterogeneous distribution of connectivity weights, that might also randomly vary in time. We show that depending on the level of heterogeneity in the connectivity coefficients, different qualitative macroscopic and microscopic regimes emerge. We evidence in particular generic transitions from stationary to perfectly periodic phase-locked regimes as the disorder parameter is increased, both in a simple model treated analytically and in a biologically relevant network made of excitable cells.
@article{arxiv.1209.2599,
title = {Heterogeneous connections induce oscillations in large scale networks},
author = {Geoffroy Hermann and Jonathan Touboul},
journal= {arXiv preprint arXiv:1209.2599},
year = {2012}
}