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Optical coherence tomography : a potential tool to predict premature rupture of fetal membranes
(2013)
An application of a scanning light-addressable potentiometric sensor for label-free DNA detection
(2013)
The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach.