This project has been responsible for the coordination of the Integrated Research Training Group, which has successfully been implemented in the first funding period. The qualification program featured lectures, seminars and courses on scientific topics of the SFB, workshops and seminars for training of additional skills and annual retreats. Visiting scientists contributed to the lectures, seminars and journal clubs offered for the doctoral students. The complete course program had been formally approved by the deanery of the UKE for the awarding of credits. The Training Group has been integrated with other structured graduate training groups, both within the Medical Faculty and across faculties.

This project provides centralized theoretical expertise in data evaluation, complex network analysis as well as modeling of brain dynamics that supports and enhances the specific work in individual research projects. Thus, this central project will support the processing of behavioral data, brain activity data, and connectivity metrics from diverse empirical approaches using state-of-the-art forward and inverse methods for EEG and MEG data as well as advanced measures of structural, functional and effective connectivity. Moreover, the project will characterize the network organization of neuronal connectivity data, and will use these data as the basis for the computational modeling of connectivity-based brain dynamics and behavior in the healthy and diseased brain.