| Building functional networks of spiking model neurons LF Abbott, B DePasquale, RM Memmesheimer Nature neuroscience 19 (3), 350-355, 2016 | 232 | 2016 |
| Third post-Newtonian constrained canonical dynamics for binary point masses in harmonic coordinates RM Memmesheimer, G Schäfer Physical Review D—Particles, Fields, Gravitation, and Cosmology 71 (4), 044021, 2005 | 213* | 2005 |
| Learning precisely timed spikes RM Memmesheimer, R Rubin, BP Ölveczky, H Sompolinsky Neuron 82 (4), 925-938, 2014 | 158 | 2014 |
| Stable irregular dynamics in complex neural networks S Jahnke, RM Memmesheimer, M Timme Physical Review Letters 100 (4), 048102, 2008 | 113 | 2008 |
| Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactions RM Memmesheimer Proceedings of the National Academy of Sciences 107 (24), 11092-11097, 2010 | 100 | 2010 |
| Learning universal computations with spikes D Thalmeier, M Uhlmann, HJ Kappen, RM Memmesheimer PLoS computational biology 12 (6), e1004895, 2016 | 96 | 2016 |
| A unified dynamic model for learning, replay, and sharp-wave/ripples S Jahnke, M Timme, RM Memmesheimer Journal of Neuroscience 35 (49), 16236-16258, 2015 | 93 | 2015 |
| Designing the dynamics of spiking neural networks RM Memmesheimer, M Timme Physical Review Letters 97 (18), 188101, 2006 | 74 | 2006 |
| Growing critical: self-organized criticality in a developing neural system FY Kalle Kossio, S Goedeke, B van den Akker, B Ibarz, ... Physical review letters 121 (5), 058301, 2018 | 67 | 2018 |
| How chaotic is the balanced state? S Jahnke, RM Memmesheimer, M Timme Frontiers in computational neuroscience 3, 512, 2009 | 61 | 2009 |
| Designing complex networks RM Memmesheimer, M Timme Physica D: Nonlinear Phenomena 224 (1-2), 182-201, 2006 | 60 | 2006 |
| Dynamical learning of dynamics C Klos, YF Kalle Kossio, S Goedeke, A Gilra, RM Memmesheimer Physical Review Letters 125 (8), 088103, 2020 | 50 | 2020 |
| From single neurons to behavior in the jellyfish Aurelia aurita F Pallasdies, S Goedeke, W Braun, RM Memmesheimer Elife 8, e50084, 2019 | 43 | 2019 |
| Drifting assemblies for persistent memory: Neuron transitions and unsupervised compensation YF Kalle Kossio, S Goedeke, C Klos, RM Memmesheimer Proceedings of the National Academy of Sciences 118 (46), e2023832118, 2021 | 38* | 2021 |
| Propagating synchrony in feed-forward networks S Jahnke, RM Memmesheimer, M Timme Frontiers in Computational Neuroscience 7, 153, 2013 | 34 | 2013 |
| Non-additive coupling enables propagation of synchronous spiking activity in purely random networks RM Memmesheimer, M Timme PLoS computational biology 8 (4), e1002384, 2012 | 34 | 2012 |
| Cooperation and competition of gamma oscillation mechanisms A Viriyopase, RM Memmesheimer, S Gielen Journal of neurophysiology 116 (2), 232-251, 2016 | 30 | 2016 |
| Oscillation-induced signal transmission and gating in neural circuits S Jahnke, RM Memmesheimer, M Timme PLoS computational biology 10 (12), e1003940, 2014 | 30 | 2014 |
| Guiding synchrony through random networks S Jahnke, M Timme, RM Memmesheimer Physical Review X 2 (4), 041016, 2012 | 26 | 2012 |
| Hub-activated signal transmission in complex networks S Jahnke, RM Memmesheimer, M Timme Physical Review E 89 (3), 030701, 2014 | 21 | 2014 |
