| Automatic generation of connectivity for large-scale neuronal network models through structural plasticity S Diaz-Pier, M Naveau, M Butz-Ostendorf, A Morrison Frontiers in neuroanatomy 10, 57, 2016 | 58 | 2016 |
| Brain simulation as a cloud service: The Virtual Brain on EBRAINS M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, ... NeuroImage 251, 118973, 2022 | 43 | 2022 |
| Code generation in computational neuroscience: a review of tools and techniques I Blundell, R Brette, TA Cleland, TG Close, D Coca, AP Davison, ... Frontiers in neuroinformatics 12, 68, 2018 | 43 | 2018 |
| Nest 2.12. 0 S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ... Jülich Supercomputing Center, 2017 | 39 | 2017 |
| NEST 2.18. 0 J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ... Jülich Supercomputing Center, 2019 | 29 | 2019 |
| NEST 2.14. 0 A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ... Jülich Supercomputing Center, 2017 | 24 | 2017 |
| Toward rigorous parameterization of underconstrained neural network models through interactive visualization and steering of connectivity generation C Nowke, S Diaz-Pier, B Weyers, B Hentschel, A Morrison, TW Kuhlen, ... Frontiers in neuroinformatics 12, 32, 2018 | 21 | 2018 |
| Inter-subject and inter-parcellation variability of resting-state whole-brain dynamical modeling OV Popovych, K Jung, T Manos, S Diaz-Pier, F Hoffstaedter, J Schreiber, ... NeuroImage 236, 118201, 2021 | 19 | 2021 |
| On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread M Hashemi, AN Vattikonda, V Sip, S Diaz-Pier, A Peyser, H Wang, ... PLoS computational biology 17 (7), e1009129, 2021 | 19 | 2021 |
| NEST 2.10. 0 H Bos, R Deepu, T Stocco, M Schmidt, JM Eppler, F Michler, HE Plesser, ... JARA-HPC, 2015 | 19 | 2015 |
| NEST 2.16. 0 C Linssen, R Deepu, J Mitchell, ME Lepperød, J Garrido, S Spreizer, ... Jülich Supercomputing Center, 2018 | 18 | 2018 |
| NEST 3.0 J Hahne, S Diaz, A Patronis, W Schenck, A Peyser, S Graber, S Spreizer, ... Zenedo. doi 10, 2021 | 12 | 2021 |
| Long-term desynchronization by coordinated reset stimulation in a neural network model with synaptic and structural plasticity T Manos, S Diaz-Pier, PA Tass Frontiers in physiology 12, 716556, 2021 | 11 | 2021 |
| Regional changes of brain structure during progression of idiopathic Parkinson's disease–A longitudinal study using deformation based morphometry P Pieperhoff, M Südmeyer, L Dinkelbach, CJ Hartmann, S Ferrea, ... cortex 151, 188-210, 2022 | 10 | 2022 |
| Rajalekshmi Deepu, Teo Stocco, Moritz Deger, Frank Mich-ler, and Hans Ekkehard Plesser H Bos, J Morrison, A Peyser, A Hahne, M Helias, S Kunkel, T Ippen, ... Nest 2 (0), 2015 | 8 | 2015 |
| NEST 2.8. 0 JM Eppler, R Deepu, C Bachmann, T Zito, A Peyser, J Jordan, R Pauli, ... JARA-HPC, 2015 | 8 | 2015 |
| Exploring parameter and hyper-parameter spaces of neuroscience models on high performance computers with learning to learn A Yegenoglu, A Subramoney, T Hater, C Jimenez-Romero, W Klijn, ... Frontiers in computational neuroscience 16, 885207, 2022 | 7 | 2022 |
| Brain modelling as a service: the virtual brain on EBRAINS M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, ... arXiv preprint arXiv:2102.05888, 2021 | 7 | 2021 |
| Ensemble kalman filter optimizing deep neural networks: an alternative approach to non-performing gradient descent A Yegenoglu, K Krajsek, SD Pier, M Herty Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 7 | 2020 |
| Staged deployment of interactive multi-application HPC workflows W Klijn, S Diaz-Pier, A Morrison, A Peyser 2019 International Conference on High Performance Computing & Simulation …, 2019 | 6 | 2019 |
