| Non-linear theory of a cavitated plasma wake in a plasma channel for special applications and control J Thomas, IY Kostyukov, J Pronold, A Golovanov, A Pukhov Physics of Plasmas 23 (5), 2016 | 39 | 2016 |
| NEST 2.18. 0 J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ... Jülich Supercomputing Center, 2019 | 32 | 2019 |
| NEST 2.16. 0 C Linssen, R Deepu, J Mitchell, ME Lepperød, J Garrido, S Spreizer, ... Jülich Supercomputing Center, 2018 | 19 | 2018 |
| Fast simulation of a multi-area spiking network model of macaque cortex on an MPI-GPU cluster G Tiddia, B Golosio, J Albers, J Senk, F Simula, J Pronold, V Fanti, ... Frontiers in neuroinformatics 16, 883333, 2022 | 10 | 2022 |
| NEST 3.3 S Spreizer, J Mitchell, R Gutzen, M Lober, C Linssen, G Trensch, J Jordan, ... Computational and Systems Neuroscience, 2022 | 10 | 2022 |
| Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers J Pronold, J Jordan, BJN Wylie, I Kitayama, M Diesmann, S Kunkel Parallel computing 113, 102952, 2022 | 9 | 2022 |
| A modular workflow for performance benchmarking of neuronal network simulations J Albers, J Pronold, AC Kurth, SB Vennemo, K Haghighi Mood, A Patronis, ... Frontiers in neuroinformatics 16, 837549, 2022 | 9 | 2022 |
| Usage and scaling of an open-source spiking multi-area model of monkey cortex SJ van Albada, J Pronold, A van Meegen, M Diesmann Brain-Inspired Computing: 4th International Workshop, BrainComp 2019 …, 2021 | 9 | 2021 |
| Routing brain traffic through the von neumann bottleneck: Parallel sorting and refactoring J Pronold, J Jordan, BJN Wylie, I Kitayama, M Diesmann, S Kunkel Frontiers in neuroinformatics 15, 785068, 2022 | 8 | 2022 |
| NEST 2.18. 0; 2019 J Jordan, H Mørk, SB Vennemo, D Terhorst, A Peyser, T Ippen, R Deepu, ... URL https://doi. org/10.5281/zenodo 2605422, 0 | 6 | |
| NEST 3.2 R de Schepper, R Deepu, A Morales-Gregorio, I Kitayama, J Mitchell, ... Computational and Systems Neuroscience, 2022 | 5 | 2022 |
| External electron injection, trapping, and emittance evolution in the blow-out regime J Pronold, J Thomas, A Pukhov Physics of Plasmas 25 (12), 2018 | 4 | 2018 |
| NEST 3.4 A Sinha, R Deepu, J Mitchell, N Haug, JM Eppler, S Spreizer, W Wybo, ... Computational and Systems Neuroscience, 2023 | 2 | 2023 |
| A non-linear theory for the bubble regime of plasma wake fields in tailored plasma channels J Thomas, IY Kostyukov, J Pronold, A Golovanov, A Pukhov arXiv preprint arXiv:1510.09012, 2015 | 2 | 2015 |
| Sub realtime simulation of a full density cortical microcircuit model on a single compute node A Kurth, M Diesmann, D Terhorst, J Senk, J Finnerty, J Pronold NEST Conference 2021, 2021 | 1 | 2021 |
| Large-scale modeling and simulation of neuronal networks in the human cortex J Pronold, M Diesmann, M Krämer Fachgruppe Physik, 2024 | | 2024 |
| Cortical multi-area model with joint excitatory-inhibitory clusters accounts for spiking statistics, inter-area propagation, and variability dynamics J Pronold, A Morales-Gregorio, V Rostami, SJ van Albada bioRxiv, 2024.01. 30.577979, 2024 | | 2024 |
| NEST. JB Aimone, FH Hamker, G Detorakis, CA Irvine, B Golosio, G Tiddia, ... Neuroscience, computing, performance, and benchmarks: Why it matters to …, 2023 | | 2023 |
| Medical Faculty, RWTH Aachen University, Aachen, Germany, Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway L Minati, SI Dimitriadis, J Wang, AM Batista, J Pronold, J Pronold, ... Neuroscience, computing, performance, and benchmarks: Why it matters to …, 2023 | | 2023 |
| Multi-Scale Spiking Network Model of Human Cerebral Cortex J Pronold, A van Meegen, H Vollenbröker, RO Shimoura, M Senden, ... bioRxiv, 2023.03. 23.533968, 2023 | | 2023 |
