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Progress in the understanding of complex systems like the brain can only be achieved by integrating models on many different scales. The research performed at the institute for Computational and Systems Neuroscience develops such multi-scale models of the brain, combining data-driven development of brain theory with the bottom-up approach of directly simulated structured networks, and the top down approach, mapping functional models of higher brain function to spiking dynamics.