Revealing network connectivity from response dynamics

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Marc Timme - , Max Planck Institute for Dynamics and Self-Organization, Cornell University, Bernstein Center for Computational Neuroscience Göttingen (Autor:in)

Abstract

We present a method to infer the complete connectivity of a network from its stable response dynamics. As a paradigmatic example, we consider networks of coupled phase oscillators and explicitly study their long-term stationary response to temporally constant driving. For a given driving condition, measuring the phase differences and the collective frequency reveals information about how the units are interconnected. Sufficiently many repetitions for different driving conditions yield the entire network connectivity (the absence or presence of each connection) from measuring the response dynamics only. For sparsely connected networks, we obtain good predictions of the actual connectivity even for formally underdetermined problems.

Details

OriginalspracheEnglisch
Aufsatznummer224101
FachzeitschriftPhysical review letters
Jahrgang98
Ausgabenummer22
PublikationsstatusVeröffentlicht - 30 Mai 2007
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

ORCID /0000-0002-5956-3137/work/142242518

Schlagworte

ASJC Scopus Sachgebiete

Bibliotheksschlagworte