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Raoul-Martin Memmesheimer

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Proceedings of the National Academy of Sciences of the United States of America|June 1, 2010
Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactionsRaoul-Martin Memmesheimer
Plos Computational Biology|April 12, 2023
Purely STDP-based assembly dynamics: Stability, learning, overlaps, drift and agingPaul Manz, Raoul-Martin Memmesheimer
Plos Computational Biology|April 26, 2012
Non-additive coupling enables propagation of synchronous spiking activity in purely random networksRaoul-Martin Memmesheimer, Marc Timme
Physical Review Letters|February 6, 2025
Smooth Exact Gradient Descent Learning in Spiking Neural NetworksChristian Klos, Raoul-Martin Memmesheimer
Plos Computational Biology|February 17, 2022
High-frequency oscillations and sequence generation in two-population models of hippocampal region CA1Wilhelm Braun, Raoul-Martin Memmesheimer
Physical Review Letters|December 13, 2006
Designing the dynamics of spiking neural networksRaoul-Martin Memmesheimer, Marc Timme
Physical Review. E|September 27, 2018
Analyzing the competition of gamma rhythms with delayed pulse-coupled oscillators in phase representationAtthaphon Viriyopase, Raoul-Martin Memmesheimer, Stan Gielen
Frontiers in Computational Neuroscience|November 26, 2009
How Chaotic is the Balanced State?Sven Jahnke, Raoul-Martin Memmesheimer, Marc Timme
Physical Review. E|November 28, 2019
Dynamics and computation in mixed networks containing neurons that accelerate towards spikingPaul Manz, Sven Goedeke, Raoul-Martin Memmesheimer
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 15, 2015
A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/RipplesSven Jahnke, Marc Timme, Raoul-Martin Memmesheimer
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Proceedings of the National Academy of Sciences of the United States of America|June 1, 2010
Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactionsRaoul-Martin Memmesheimer
Plos Computational Biology|April 12, 2023
Purely STDP-based assembly dynamics: Stability, learning, overlaps, drift and agingPaul Manz, Raoul-Martin Memmesheimer
Plos Computational Biology|April 26, 2012
Non-additive coupling enables propagation of synchronous spiking activity in purely random networksRaoul-Martin Memmesheimer, Marc Timme
Physical Review Letters|February 6, 2025
Smooth Exact Gradient Descent Learning in Spiking Neural NetworksChristian Klos, Raoul-Martin Memmesheimer
Plos Computational Biology|February 17, 2022
High-frequency oscillations and sequence generation in two-population models of hippocampal region CA1Wilhelm Braun, Raoul-Martin Memmesheimer
Physical Review Letters|December 13, 2006
Designing the dynamics of spiking neural networksRaoul-Martin Memmesheimer, Marc Timme
Physical Review. E|September 27, 2018
Analyzing the competition of gamma rhythms with delayed pulse-coupled oscillators in phase representationAtthaphon Viriyopase, Raoul-Martin Memmesheimer, Stan Gielen
Frontiers in Computational Neuroscience|November 26, 2009
How Chaotic is the Balanced State?Sven Jahnke, Raoul-Martin Memmesheimer, Marc Timme
Physical Review. E|November 28, 2019
Dynamics and computation in mixed networks containing neurons that accelerate towards spikingPaul Manz, Sven Goedeke, Raoul-Martin Memmesheimer
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 15, 2015
A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/RipplesSven Jahnke, Marc Timme, Raoul-Martin Memmesheimer
Pageof 3