| 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 | 49 | 2016 |
| Nest 2.12. 0 S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ... Jülich Supercomputing Center, 2017 | 38 | 2017 |
| 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 | 32 | 2018 |
| NEST 2.14. 0 A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ... Jülich Supercomputing Center, 2017 | 22 | 2017 |
| NEST 2.18. 0 J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ... Jülich Supercomputing Center, 2019 | 19 | 2019 |
| NEST 2.16. 0 C Linssen, R Deepu, J Mitchell, ME Lepperød, J Garrido, S Spreizer, ... Jülich Supercomputing Center, 2018 | 18 | 2018 |
| NEST 2.10. 0 H Bos, R Deepu, T Stocco, M Schmidt, JM Eppler, F Michler, HE Plesser, ... JARA-HPC, 2015 | 18 | 2015 |
| 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 | 13 | 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 | 8 | 2021 |
| NEST 2.8. 0 JM Eppler, R Deepu, C Bachmann, T Zito, A Peyser, J Jordan, R Pauli, ... JARA-HPC, 2015 | 8 | 2015 |
| 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 | 6 | 2021 |
| NEST 3.0 J Hahne, S Diaz, A Patronis, W Schenck, A Peyser, S Graber Zenedo. doi 10, 2021 | 6 | 2021 |
| Ensemble Kalman filter optimizing deep neural networks A Yegenoglu, S Diaz, K Krajsek, M Herty Conference on Machine Learning, Optimization and Data Science 12514, 2020 | 5 | 2020 |
| 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 | 4 | 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 | 4 | 2021 |
| Classical simulation of quantum adiabatic algorithms using Mathematica on GPUs S Díaz-Pier, SE Venegas-Andraca, JL Gomez-Munoz arXiv preprint arXiv:1103.1399, 2011 | 4 | 2011 |
| NEST 2.12. 0, Mar. 2017 S Kunkel, A Morrison, P Weidel, JM Eppler, A Sinha, W Schenck, ... URL https://doi. org/10.5281/zenodo 259534, 41, 0 | 4 | |
| 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 | 3 | 2019 |
| 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, 2021 | 2 | 2021 |
| Linking experimental and computational connectomics A Peyser, S Diaz Pier, W Klijn, A Morrison, J Triesch Network neuroscience 3 (4), 902-904, 2019 | 2 | 2019 |
