This title appears in the Scientific Report :
2023
Please use the identifier:
http://dx.doi.org/10.34734/FZJ-2023-02678 in citations.
Gradient free optimization of neuroscience models at different scales with L2L
Gradient free optimization of neuroscience models at different scales with L2L
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Personal Name(s): | Yegenoglu, Alper (Corresponding author) |
---|---|
Jimenez-Romero, Cristian / Perez Martin, Aaron / van der Vlag, Michiel / Klijn, Wouter / Hater, Thorsten / Morrison, Abigail / Diaz, Sandra | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
2023
|
DOI: |
10.34734/FZJ-2023-02678 |
Conference: | HBP Summit 2023, Marseille (France), 2023-03-27 - 2023-03-31 |
Document Type: |
Poster |
Research Program: |
Center for Simulation and Data Science (CSD) - School for Simulation and Data Science (SSD) Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) Human Brain Project Specific Grant Agreement 3 Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups SimLab Neuroscience Doktorand ohne besondere Förderung |
Link: |
OpenAccess |
Publikationsportal JuSER |
Description not available. |