Walter Senn is Professor for Computational Neuroscience at the Department of Physiology, University of Bern. He studied Mathematics, Physics and Russian at the University of Bern, with a Master in Mathematics and a PhD with specialty in differential geometry and calculus of variation (1993). During his PhD he further studied dynamical systems at Lomonossov University in Moscow, and he got a degree as a high school teacher from the University of Zurich. In the Neural Network group at the Department of Computer Science and Applied Mathematics at University of Bern he was modelling pattern generation in spinal cord and was engaged in industry projects related to pattern recognition. After a postdoc in Neural Computation at the Hebrew University, Jerusalem (Prof. I. Segev), and research stays at the National Institute of Health (USA) and the Center for Neural Sciences, New York University (Prof. J. Rinzel), he joined the Department of Physiology, University of Bern (1999). Using mathematical models of synapses and neurons, he investigates how cognitive phenomena such as perception, learning and memory can emerge from neuronal structures.