This includes the analysis of big data sets related to whole brain measurements of neuronal connectivity and activity, the development of new technologies for data acquisition, and the theoretical understanding of these data to derive underlying principles.
This includes research into improving hardware efficiency (speed and energy consumption) based on insights from studying neural circuits, developing next generation algorithms, software and hardware for machine intelligence, and improving the robustness and programmability of software systems.