We study the synchronized state in a population of network-coupled, heterogeneous
oscillators. In particular, we show that the steady-state solution of the linearized dynamics …

Synchronization phenomena and collective behavior are commonplace in complex systems
with applications ranging from biological processes such as coordinated neuron firings and …

Accurate prediction of noise propagation in biological networks is key to understanding
faithful signal propagation in gene networks as well as for designing noise-tolerant synthetic …

Non-linearity, complex interaction patterns and interdependencies, emergent properties like
collective behaviors, but also chaos and unpredictability, are some of the features that many …

Many complex systems can be represented as graphs or networks. In numerous
applications it is not possible or desirable to observe the entire network structure. We might …