Jonas Stapmanns

According to our database, Jonas Stapmanns authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism.

Agnes Korcsak-Gorzo, Jesús A. Espinoza Valverde, Jonas Stapmanns, Hans Ekkehard Plesser, David Dahmen, Matthias Bolten, Sacha J. van Albada, Markus Diesmann

CoRR, November, 2025

On the stability of event-based control with neuronal dynamics.

Luke Eilers, Jonas Stapmanns, Catarina Dias, Jean-Pascal Pfister

CoRR, November, 2025

Phase Transitions of the Additive Uniform Noise Channel with Peak Amplitude and Cost Constraint.

Jonas Stapmanns, Catarina Dias, Luke Eilers, Tobias Kühn, Jean-Pascal Pfister

CoRR, October, 2025

Modeling neuron-astrocyte interactions in neural networks using distributed simulation.

Han-Jia Jiang, Jugoslava Acimovic, Tiina Manninen, Iiro Ahokainen, Jonas Stapmanns, Mikko Lehtimäki, Markus Diesmann, Sacha J. van Albada, Hans Ekkehard Plesser, Marja-Leena Linne

PLoS Comput. Biol., 2025

Capacity-Achieving Input Distribution of the Additive Uniform Noise Channel with Peak Amplitude and Cost Constraint.

Jonas Stapmanns, Catarina Dias, Luke Eilers, Jean-Pascal Pfister

Proceedings of the IEEE International Symposium on Information Theory, 2025

2023

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices.

Bruno Golosio, Jose Villamar, Gianmarco Tiddia, Elena Pastorelli, Jonas Stapmanns, Viviana Fanti, Pier Stanislao Paolucci, Abigail Morrison, Johanna Senk

CoRR, 2023

2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.

Agnes Korcsak-Gorzo, Charl A. P. Linssen, Jasper Albers, Stefan Dasbach, Renato C. Duarte, Susanne Kunkel, Abigail Morrison, Johanna Senk, Jonas Stapmanns, Tom Tetzlaff, Markus Diesmann, Sacha J. van Albada

CoRR, 2022

2021

Event-Based Update of Synapses in Voltage-Based Learning Rules.

Jonas Stapmanns, Jan Hahne, Moritz Helias, Matthias Bolten, Markus Diesmann, David Dahmen

Frontiers Neuroinformatics, 2021