Topological dimension tunes activity patterns in hierarchical modular networks

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Details zur Publikation

Autor(en): Safari A, Moretti P
Zeitschrift: New Journal of Physics
Jahr der Veröffentlichung: 2017
Band: 19
ISSN: 1367-2630


Connectivity patterns of relevance in neuroscience and systems biology can be encoded in hierarchical modular networks (HMNs). Recent studies highlight the role of hierarchical modular organization in shaping brain activity patterns, providing an excellent substrate to promote both segregation and integration of neural information. Here, we propose an extensive analysis of the critical spreading rate (or 'epidemic' threshold)—separating a phase with endemic persistent activity from one in which activity ceases—on diverse HMNs. By employing analytical and computational techniques we determine the nature of such a threshold and scrutinize how it depends on general structural features of the underlying HMN. We critically discuss the extent to which current graph-spectral methods can be applied to predict the onset of spreading in HMNs and, most importantly, we elucidate the role played by the network topological dimension as a relevant and unifying structural parameter, controlling the epidemic threshold.

FAU-Autoren / FAU-Herausgeber

Moretti, Paolo Dr.
Lehrstuhl für Werkstoffsimulation
Safari, Ali
Lehrstuhl für Werkstoffsimulation


Safari, A., & Moretti, P. (2017). Topological dimension tunes activity patterns in hierarchical modular networks. New Journal of Physics, 19.

Safari, Ali, and Paolo Moretti. "Topological dimension tunes activity patterns in hierarchical modular networks." New Journal of Physics 19 (2017).


Zuletzt aktualisiert 2019-18-02 um 15:38