Sven Goedeke


I am doctoral researcher in the group Neural network dynamics and computation and my work focusses on the dynamics and statistics of biological neural networks. In particular, I am interested in the functional properties of networks of spiking neurons and how these can be constructed or learnt.  For theoretical analysis I like to use methods from statistical physics, nonlinear dynamics and probability theory.

I studied physics and mathematics at the University of Göttingen. Before joining the group in Bonn I was a research assistant in the group of Moritz Helias at the Research Centre Jülich, where I worked on dynamic mean-field theory for random neural networks.I

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