Details

Autor(en) / Beteiligte

• Baggio, Giacomo
• Rutten, Virginia
• Hennequin, Guillaume
• Zampieri, Sandro

Titel

Efficient communication over complex dynamical networks: The role of matrix non-normality

Ist Teil von

• Science advances, 2020-05, Vol.6 (22), p.eaba2282-eaba2282

Ort / Verlag

United States: American Association for the Advancement of Science

Erscheinungsjahr

2020

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• In both natural and engineered systems, communication often occurs dynamically over networks ranging from highly structured grids to largely disordered graphs. To use, or comprehend the use of, networks as efficient communication media requires understanding of how they propagate and transform information in the face of noise. Here, we develop a framework that enables us to examine how network structure, noise, and interference between consecutive packets jointly determine transmission performance in complex networks governed by linear dynamics. Mathematically, normal networks, which can be decomposed into separate low-dimensional information channels, suffer greatly from readout noise. Most details of their wiring have no impact on transmission quality. Non-normal networks, however, can largely cancel the effect of noise by transiently amplifying select input dimensions while ignoring others, resulting in higher net information throughput. Our theory could inform the design of new communication networks, as well as the optimal use of existing ones.