© Barbara Frommann
Prof. Dr. Raoul-Martin Memmesheimer
Affiliations
- Institut für Genetik
Research topics
- neural network dynamics
The research of our group 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.
Selected publications
Pallasdies F, Goedeke S, Braun W, Memmesheimer RM (2019) From Single Neurons to Behavior in the Jellyfish Aurelia aurita, eLife 8:e50084.
Abbott LF, DePasquale B, Memmesheimer RM (2016) Building functional networks of spiking model neurons. Nat Neurosci 19:350-355., , Memmesheimer RM, Rubin R, Ölveczky B, Sompolinsky H (2014) Learning precisely timed spikes Neuron 82:925-938.
Memmesheimer RM (2010) Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactions Proc Natl Acad Sci USA 107:11092-11097.
© Barbara Frommann
Prof. Dr. Raoul-Martin Memmesheimer