Raoul-Martin Memmesheimer
Affiliations: | Network Dynamics | Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, Göttingen, Niedersachsen, Germany |
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| Braun W, Memmesheimer RM. (2022) High-frequency oscillations and sequence generation in two-population models of hippocampal region CA1. Plos Computational Biology. 18: e1009891 |
| Klos C, Kalle Kossio YF, Goedeke S, et al. (2020) Dynamical Learning of Dynamics. Physical Review Letters. 125: 088103 |
| Pallasdies F, Goedeke S, Braun W, et al. (2019) From single neurons to behavior in the jellyfish . Elife. 8 |
| Manz P, Goedeke S, Memmesheimer RM. (2019) Dynamics and computation in mixed networks containing neurons that accelerate towards spiking. Physical Review. E. 100: 042404 |
| Viriyopase A, Memmesheimer RM, Gielen S. (2018) Analyzing the competition of gamma rhythms with delayed pulse-coupled oscillators in phase representation. Physical Review. E. 98: 022217 |
| Kossio FYK, Goedeke S, van den Akker B, et al. (2018) Growing Critical: Self-Organized Criticality in a Developing Neural System. Physical Review Letters. 121: 058301 |
| Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54 |
| Thalmeier D, Uhlmann M, Kappen HJ, et al. (2016) Learning Universal Computations with Spikes. Plos Computational Biology. 12: e1004895 |
| Viriyopase A, Memmesheimer RM, Gielen S. (2016) Cooperation and competition of gamma oscillation mechanisms. Journal of Neurophysiology. 116: 232-51 |
| Abbott LF, DePasquale B, Memmesheimer RM. (2016) Building functional networks of spiking model neurons. Nature Neuroscience. 19: 350-5 |