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Sandra Diaz-Pier
Sandra Diaz-Pier
Verified email at fz-juelich.de
Title
Cited by
Cited by
Year
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
602016
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
472018
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
462022
Nest 2.12. 0
S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ...
Jülich Supercomputing Center, 2017
402017
NEST 2.18. 0
J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ...
Jülich Supercomputing Center, 2019
312019
NEST 2.14. 0
A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ...
Jülich Supercomputing Center, 2017
262017
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
232021
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
212021
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
212018
NEST 2.16. 0
C Linssen, R Deepu, J Mitchell, ME Lepperød, J Garrido, S Spreizer, ...
Jülich Supercomputing Center, 2018
192018
NEST 2.10. 0
H Bos, R Deepu, T Stocco, M Schmidt, JM Eppler, F Michler, HE Plesser, ...
JARA-HPC, 2015
182015
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
172022
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
142021
NEST 3.0
J Hahne, S Diaz, A Patronis, W Schenck, A Peyser, S Graber, S Spreizer, ...
Zenedo. doi 10, 2021
142021
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
92022
NEST 2.8. 0
JM Eppler, R Deepu, C Bachmann, T Zito, A Peyser, J Jordan, R Pauli, ...
JARA-HPC, 2015
92015
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
72021
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
72020
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
72015
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
62019
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