Sandra Diaz-Pier
Sandra Diaz-Pier
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Cited by
Cited by
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
Nest 2.12. 0
S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ...
Jülich Supercomputing Center, 2017
NEST 2.14. 0
A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ...
Jülich Supercomputing Center, 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
NEST 2.10. 0
H Bos, R Deepu, T Stocco, M Schmidt, JM Eppler, F Michler, HE Plesser, ...
JARA-HPC, 2015
NEST 2.16. 0
C Linssen, R Deepu, J Mitchell, ME Lepperød, J Garrido, S Spreizer, ...
Jülich Supercomputing Center, 2018
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
NEST 2.18. 0
J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ...
Jülich Supercomputing Center, 2019
NEST 2.8. 0
JM Eppler, R Deepu, C Bachmann, T Zito, A Peyser, J Jordan, R Pauli, ...
JARA-HPC, 2015
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
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, 118201, 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
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
26th annual computational neuroscience meeting (CNS* 2017): part 2
LL Rubchinsky, S Ahn, W Klijn, B Cumming, S Yates, V Karakasis, ...
BMC Neuroscience 18 (1), 1-79, 2017
Impact of brain parcellation on parameter optimization of the whole-brain dynamical models
T Manos, F Hoffstaedter, J Schreiber, O Popovych, S Diaz, A Peyser, ...
CNS* 2019, 2019
Learning to Learn on High Performance Computing
A Yegenoglu, W Maas, M Herty, W Klijn, G Visconti, A Subramoney, ...
Society for Neuroscience Meeting 2019, 2019
Experimental validation of a method for the prediction of the acoustic field produced by an acoustic source and the reflected field produced by a solid interface
S Diaz, R Chopra, S Pichardo
AIP Conference Proceedings 1503 (1), 101-106, 2012
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
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
On the influence of prior information evaluated by fully Bayesian criteria in a personalized virtual brain model
M Hashemi, AN Vattikonda, V Sip, S Diaz-Pier, A Peyser, H Wang, ...
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