At the moment, all positions in the group are filled. Depending on the start date, you can do a short-term internship to get to know research in theoretical neuroscience/neurophysics. Optimal backgrounds of applicants include theoretical neuroscience and/or theoretical physics, computer science, mathematics, quantitative biology.
Under the overarching topic “Bridging the scales: Spiking in artificial and biological neural computation”, we aim to develop spiking networks for the solution of artificial intelligence problems and we aim to understand healthy and pathological spike patterns. Your theoretical work in the group may contribute to delineating the principles underlying effective computations with spiking neurons, investigating the origins of pathological dynamics in the hippocampus, or exploring the impact of coupling nonlinearities found in this brain region. Some of our projects are directly guided by recent experimental results and aim at explanations that have been requested by experimentally working collaborative partners. Others have a higher level of abstraction and explore rather principal questions. For the different projects, collaborative partnerships have been arranged with experimentally working scientists at Heidelberg University (group of A. Draguhn) and Bonn University (group of H. Beck), and with theoretically working groups at Columbia University (group of L. Abbott), Radboud Unversity (group of H.J. Kappen) and FIAS Frankfurt (group of Jochen Triesch).