Journal
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
Volume 47, Issue 34, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1751-8113/47/34/343001
Keywords
network reconstruction; network dynamics; network inference; structural connectivity; functional connectivity; effective connectivity; network topology; complex networks; synchrony
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Funding
- International Max Planck Research School (IMPRS) Physics of Biological and Complex Systems
- Ministry for Education and Science (BMBF), Germany, through the Bernstein Center for Computational Neuroscience [01GQ1005B]
- Max Planck Society
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What can we learn from the collective dynamics of a complex network about its interaction topology? Taking the perspective from nonlinear dynamics, we briefly review recent progress on how to infer structural connectivity (direct interactions) from accessing the dynamics of the units. Potential applications range from interaction networks in physics, to chemical and metabolic reactions, protein and gene regulatory networks as well as neural circuits in biology and electric power grids or wireless sensor networks in engineering. Moreover, we briefly mention some standard ways of inferring effective or functional connectivity.
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