Reconstructing neuronal circuitry from parallel spike trains R Kobayashi, S Kurita, A Kurth, K Kitano, K Mizuseki, M Diesmann, ... Nature communications 10 (1), 4468, 2019 | 83 | 2019 |
Sub-realtime simulation of a neuronal network of natural density AC Kurth, J Senk, D Terhorst, J Finnerty, M Diesmann Neuromorphic Computing and Engineering, 2022 | 21 | 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 |
NEST 3.3 S Spreizer, J Mitchell, J Jordan, W Wybo, A Kurth, SB Vennemo, J Pronold, ... Zenodo, 2022 | 9 | 2022 |
Nest 3.1 R Deepu, S Spreizer, G Trensch, D Terhorst, SB Vennemo, J Mitchell, ... Zenodo. doi 10, 2021 | 6 | 2021 |
NEST 3.2 R de Schepper, R Deepu, A Morales-Gregorio, I Kitayama, J Mitchell, ... Computational and Systems Neuroscience, 2022 | 5 | 2022 |
Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region A Morales-Gregorio, AC Kurth, J Ito, A Kleinjohann, FV Barthélemy, ... bioRxiv, 2023.06. 14.544966, 2023 | 3 | 2023 |
Phase space analysis of chaotic neural networks J Stubenrauch, C Keup, AC Kurth, M Helias, A van Meegen arXiv preprint arXiv:2210.07877, 2022 | 3 | 2022 |
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 |
Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance M Senden, SJ van Albada, G Pezzulo, E Falotico, I Hashim, A Kroner, ... National Science Review 11 (5), nwad318, 2024 | | 2024 |
Assessing the similarity of real matrices with arbitrary shape J Albers, AC Kurth, R Gutzen, A Morales-Gregorio, M Denker, S Grün, ... arXiv preprint arXiv:2403.17687, 2024 | | 2024 |