Raoul-Martin Memmesheimer - Publications

Network Dynamics Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, Göttingen, Niedersachsen, Germany 

27 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Braun W, Memmesheimer RM. High-frequency oscillations and sequence generation in two-population models of hippocampal region CA1. Plos Computational Biology. 18: e1009891. PMID 35176028 DOI: 10.1371/journal.pcbi.1009891  0.352
2020 Klos C, Kalle Kossio YF, Goedeke S, Gilra A, Memmesheimer RM. Dynamical Learning of Dynamics. Physical Review Letters. 125: 088103. PMID 32909804 DOI: 10.1103/Physrevlett.125.088103  0.657
2019 Pallasdies F, Goedeke S, Braun W, Memmesheimer RM. From single neurons to behavior in the jellyfish . Elife. 8. PMID 31868586 DOI: 10.7554/eLife.50084  0.338
2019 Manz P, Goedeke S, Memmesheimer RM. Dynamics and computation in mixed networks containing neurons that accelerate towards spiking. Physical Review. E. 100: 042404. PMID 31770941 DOI: 10.1103/PhysRevE.100.042404  0.528
2018 Viriyopase A, Memmesheimer RM, Gielen S. Analyzing the competition of gamma rhythms with delayed pulse-coupled oscillators in phase representation. Physical Review. E. 98: 022217. PMID 30253475 DOI: 10.1103/PhysRevE.98.022217  0.528
2018 Kossio FYK, Goedeke S, van den Akker B, Ibarz B, Memmesheimer RM. Growing Critical: Self-Organized Criticality in a Developing Neural System. Physical Review Letters. 121: 058301. PMID 30118252 DOI: 10.1103/PhysRevLett.121.058301  0.405
2016 Thalmeier D, Uhlmann M, Kappen HJ, Memmesheimer RM. Learning Universal Computations with Spikes. Plos Computational Biology. 12: e1004895. PMID 27309381 DOI: 10.1371/journal.pcbi.1004895  0.534
2016 Viriyopase A, Memmesheimer RM, Gielen S. Cooperation and competition of gamma oscillation mechanisms. Journal of Neurophysiology. 116: 232-51. PMID 26912589 DOI: 10.1152/jn.00493.2015  0.438
2016 Abbott LF, DePasquale B, Memmesheimer RM. Building functional networks of spiking model neurons. Nature Neuroscience. 19: 350-5. PMID 26906501 DOI: 10.1038/Nn.4241  0.473
2015 Jahnke S, Timme M, Memmesheimer RM. A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 16236-58. PMID 26658873 DOI: 10.1523/Jneurosci.3977-14.2015  0.562
2014 Jahnke S, Memmesheimer RM, Timme M. Oscillation-induced signal transmission and gating in neural circuits. Plos Computational Biology. 10: e1003940. PMID 25503492 DOI: 10.1371/Journal.Pcbi.1003940  0.611
2014 Memmesheimer RM, Rubin R, Olveczky BP, Sompolinsky H. Learning precisely timed spikes. Neuron. 82: 925-38. PMID 24768299 DOI: 10.1016/j.neuron.2014.03.026  0.427
2014 Jahnke S, Memmesheimer RM, Timme M. Hub-activated signal transmission in complex networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 030701. PMID 24730779 DOI: 10.1103/Physreve.89.030701  0.685
2014 Breuer D, Timme M, Memmesheimer RM. Statistical physics of neural systems with nonadditive dendritic coupling Physical Review X. 4. DOI: 10.1103/Physrevx.4.011053  0.693
2013 Jahnke S, Memmesheimer RM, Timme M. Propagating synchrony in feed-forward networks. Frontiers in Computational Neuroscience. 7: 153. PMID 24298251 DOI: 10.3389/Fncom.2013.00153  0.659
2013 Jahnke S, Memmesheimer R, Timme M. Oscillation induced propagation of synchrony in structured neural networks Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P390  0.718
2013 Breuer D, Timme M, Memmesheimer R. Computational optimum of recurrent neural circuits at intermediate numbers of nonlinear dendritic branches Bmc Neuroscience. 14: P273. DOI: 10.1186/1471-2202-14-S1-P273  0.676
2012 Memmesheimer RM, Timme M. Non-additive coupling enables propagation of synchronous spiking activity in purely random networks. Plos Computational Biology. 8: e1002384. PMID 22532791 DOI: 10.1371/Journal.Pcbi.1002384  0.745
2012 Jahnke S, Timme M, Memmesheimer RM. Guiding Synchrony through Random Networks Physical Review X. 2. DOI: 10.1103/Physrevx.2.041016  0.712
2011 van den Akker B, Ibarz B, Memmesheimer R. Self-organized criticality in a model for developing neural networks Bmc Neuroscience. 12: P221. DOI: 10.1186/1471-2202-12-S1-P221  0.331
2010 Memmesheimer RM. Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactions. Proceedings of the National Academy of Sciences of the United States of America. 107: 11092-7. PMID 20511534 DOI: 10.1073/pnas.0909615107  0.545
2010 Memmesheimer RM, Timme M. Stable and unstable periodic orbits in complex networks of spiking neurons with delays Discrete and Continuous Dynamical Systems. 28: 1555-1588. DOI: 10.3934/Dcds.2010.28.1555  0.719
2009 Jahnke S, Memmesheimer RM, Timme M. How Chaotic is the Balanced State? Frontiers in Computational Neuroscience. 3: 13. PMID 19936316 DOI: 10.3389/Neuro.10.013.2009  0.712
2008 Jahnke S, Memmesheimer RM, Timme M. Stable irregular dynamics in complex neural networks. Physical Review Letters. 100: 048102. PMID 18352336 DOI: 10.1103/Physrevlett.100.048102  0.723
2007 Memmesheimer R, Timme M. Non-additive coupling enables stable propagation of synchronous spiking in purely random networks Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P31  0.705
2006 Memmesheimer RM, Timme M. Designing the dynamics of spiking neural networks. Physical Review Letters. 97: 188101. PMID 17155580 DOI: 10.1103/Physrevlett.97.188101  0.717
2006 Memmesheimer RM, Timme M. Designing complex networks Physica D: Nonlinear Phenomena. 224: 182-201. DOI: 10.1016/J.Physd.2006.09.037  0.71
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