Raoul-Martin Memmesheimer
Prof. Dr. Raoul-Martin Memmesheimer
  • 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.

Raoul-Martin Memmesheimer
Prof. Dr. Raoul-Martin Memmesheimer
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