This title appears in the Scientific Report :
2021
Please use the identifier:
http://hdl.handle.net/2128/29080 in citations.
Hyper-parameter space exploration of neuroscience models on high performance computers with the Learning to Learn framework
Hyper-parameter space exploration of neuroscience models on high performance computers with the Learning to Learn framework
Saved in:
Personal Name(s): | Yegenoglu, Alper (Corresponding author) |
---|---|
Diaz, Sandra / Jimenez-Romero, Cristian / Perez Martin, Aaron / van der Vlag, Michiel / Klijn, Wouter / Küsters, Anne / Huisman, Brent / Hater, Thorsten / Herty, Michael / Morrison, Abigail | |
Contributing Institute: |
Computational and Systems Neuroscience; INM-6 Jülich Supercomputing Center; JSC |
Imprint: |
2021
|
Conference: | HBP Summit 2021, Virtual (Belgium), 2021-10-12 - 2021-10-15 |
Document Type: |
Poster |
Research Program: |
Center for Simulation and Data Science (CSD) - School for Simulation and Data Science (SSD) SimLab Neuroscience Interactive Computing E-Infrastructure for the Human Brain Project Human Brain Project Specific Grant Agreement 3 Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups Doktorand ohne besondere Förderung Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) |
Link: |
OpenAccess |
Publikationsportal JuSER |
Description not available. |