A6: Control of self-organization in dynamical networks
Prof. Dr. Alexander S. Mikhailov 
Previous studies of dynamical networks have been largely focused on synchronization phenomena and spreading of infection fronts. Here, we plan to investigate more complex forms of self-organization phenomena. They will include network analogs of Turing and wave bifurcations and localized patterns in activator-inhibitor network models with long-range inhibition, as well as network turbulence. Introducing various feedbacks, we intend to show how self-organization processes in networks can be steered and particular kinds of patterns induced. In addition to considering large random and scale-free networks, we will study control of adaptive dynamical networks which can change their architecture depending on the feedback signals.