Research

Raoul-Martin Memmesheimer

My 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 com­puter science and theoretical physics.

I studied theoretical physics at the universities of Kaiserslautern, Munich and Jena, and received my diploma with a thesis in gravitational theory from the university of Jena in 2004. From 2004 to 2008, I conducted research at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, first as PhD student then as postdoctoral researcher in the group of M. Timme and in the department of T. Geisel. In 2008, I was awarded the Otto Hahn Medal of the Max Planck Society and a Swartz Postdoctoral Fellowship from Harvard University. From 2008 to 2010, I was as an independent Swartz fellow at Harvard University working together with H. Sompolinsky. Thereafter (2010 to 2015), I continued my research as an assistant professor (first tenure track then tenure) in the Neuroinformatics department at the Donders Institute at Radboud University Nijmegen. In 2014, I was awarded the Bernstein Award. Since 2015, I am conducting research at the Center for Theoretical Neuroscience of Columbia University as a Fellow of the Max Kade Society New York. In summer 2016, I have joined the FIAS Frankfurt.

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