A6: Control of self-organization in dynamical networks

Principal investigator:

Prof. Dr. Alexander S. Mikhailov

Project summary:

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.