Publications

I
L.F. Abbott, B. DePasquale, and R.-M. Memmesheimer (2016)
Building functional networks of spiking model neurons
Nat. Neurosci. 19:350-355.
Link PDF

A. Viriyopase, R.-M. Memmesheimer, and S. Gielen (2016)
Cooperation and competition of gamma oscillation mechanisms
J. Neurophysiol. 116:232-251
Link PDF

D. Thalmeier, M. Uhlmann, B. Kappen, and R.-M. Memmesheimer (2016)
Universal computation with spikes
PLoS Comput. Biol. 12:e1004895.
Link PDF

S. Jahnke, M. Timme, and R.-M. Memmesheimer (2015)
A unified dynamic model for learning, replay and sharp-wave/ ripples
J. Neurosci. 35:16236-16258.
Link PDF

S. Jahnke, R.-M. Memmesheimer, and M. Timme (2014)
Oscillation-induced signal transmission and gating in neural circuits
PLoS Comput. Biol. 10:e1003940.
Link PDF

LearningPreciselyTimedSpikes

R.-M. Memmesheimer*, R. Rubin*, B. Ölveczky, and H. Sompolinsky (2014)
Learning precisely timed spikes
Neuron 82:925-938.
Link PDF

D. Breuer, M. Timme, and R.-M. Memmesheimer (2014)
Statistical physics of neural systems with non-additive dendritic coupling
Phys. Rev. X 4:011053.
Link PDF

S. Jahnke, R.-M. Memmesheimer, and M. Timme (2014)
Hub-activated signal transmission in complex networks
Phys. Rev. E 89:030701(R).
Link PDF

S. Jahnke, R.-M. Memmesheimer, and M. Timme M (2013).
Propagating synchrony in feed-forward networks.
Front. Comput. Neurosci. 7:153.
Link PDF

nonlindendsenablesyncpropf2

S. Jahnke, M. Timme, and R.-M. Memmesheimer (2012).
Guiding synchrony through random networks
Phys. Rev. X 2:041016.
Link PDF

R.-M. Memmesheimer and M. Timme (2012).
Non-additive coupling enables propagation of synchronous spiking activity in purely random networks
PLoS Comput. Biol., 8:e1002384.
Link PDF

R.-M. Memmesheimer and M. Timme (2010).
Stable and unstable periodic orbits in complex networks of spiking neurons with delays
Discr. Cont. Dyn. Sys., 28:1555-1588.
Link PDF

ca1ca3spwrlike

R.-M. Memmesheimer (2010).
Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactions
Proc. Natl Acad. Sci. USA, 107:11092-11097.
Link PDF

S. Jahnke, R.-M. Memmesheimer and M. Timme (2009).
How Chaotic is the Balanced State?
Front. Comput. Neurosci., 3:13.
Link PDF

R.-M. Memmesheimer and M. Timme (2009).
Synchrony and precise timing in complex neural networks
in Handbook on Biological Networks
eds. Y. Moreno, V. Latora, and S. Boccaletti, World Scientific, London.
Link PDF

stableirregulartransient1

S. Jahnke, R.-M. Memmesheimer, and M. Timme (2008).
Stable Irregular Dynamics in Complex Neural Networks

Phys. Rev. Lett. 100:048102.
Link PDF

R.-M. Memmesheimer (2007).
Precise Spike Timing in Complex Neural Networks

Doctor of Science Thesis, Georg August University Göttingen.
Link PDF

R.-M. Memmesheimer and M. Timme (2006).
Designing complex networks

Physica D 224:182-201.
Link PDF

twonetssamepattstabunstab

R.-M. Memmesheimer and M. Timme (2006).
Designing the Dynamics of Spiking Neural Networks
Phys. Rev. Lett. 97:188101.
Link PDF

R.-M. Memmesheimer and G. Schäfer (2005).
Third post-Newtonian constrained canonical dynamics for binary point masses in harmonic coordinates
Phys. Rev. D 71:044021.
Link PDF

R.-M. Memmesheimer (2004).
Canonical Formulation of Higher Order post-Newtonian/post-Coulombian Point Particle
Dynamics in Harmonic/Lorentz Gauge

Diploma Thesis, Friedrich Schiller University Jena.
Link PDF

Wendelfarbiger_ganzHintergrdFarbeZug

R.-M. Memmesheimer, A. Gopakumar, and G. Schäfer (2004).
Third post-Newtonian accurate generalized quasi-Keplerian parametrization for compact binaries in eccentric orbits
Phys. Rev. D 70:104011.
Link PDF

I

I

I

I

I

I

I

I

I


HOME PUBLICATIONS NEWS TEACHING GROUP JOINING ___________________________________________________________________________

Advertisements