Our research addresses the microscopic, precise spiking dynamics in neural networks, the level of mesoscopic collective dynamics as well as emergent large-scale phenomena such as control and learning of behavior. The long-term aim is a theoretical understanding of the complex dynamics and the resulting computations of neural systems. For this goal, it is essential to join strict mathematical approaches and perspectives from neurophysiology and neurobiology and to apply and to further develop methods from theoretical physics and computer science.
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