Network Dynamics Understanding how structure relates to dynamics and function in complex networks of interacting units in physics, biology, and engineering Prof. Dr. Marc Timme In the Network Dynamics team, we are working towards a unifying understanding of the principles underlying the dynamics of large, nonlinear interconnected systems. We theoretically study topical questions arising from a broad range of phenomena in physics, in neurobiology, in evolution, and in the engineering of self-organizing “intelligent” systems. Moreover, a substantial part of our work is investigating emergent mathematical objects and developing mathematical and computational tools necessary to understand the novel phenomena arising in network dynamical systems. Current research topics include Synchronization and spatio-temporal patterns in neural circuits, Theory of network design and network inference, Statistical Physics for mathematical and biological evolution, Intelligent dynamical systems and bio-inspired computing, in particular heteroclinic computing and adaptive collective dynamics, and Self-organized dynamics of modern power grids. Read more...