This title appears in the Scientific Report :
2022
Simulation of Biological Neuronal Networks
Simulation of Biological Neuronal Networks
Emerging computation infrastructure combined with state of the art simulation technology have become an important tool to support research and development in a variety of fields including computational neuroscience, medicine, bio-informatics, and machine learning. In this course the participants lea...
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Personal Name(s): | Diaz, Sandra (Corresponding author) |
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Yegenoglu, Alper / Bachmann, Claudia | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
2022
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Conference: | University of Freiburg (Germany), 2022-08-01 - 2022-08-05 |
Document Type: |
Lecture |
Research Program: |
SimLab Neuroscience Human Brain Project Specific Grant Agreement 3 JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups |
Publikationsportal JuSER |
Emerging computation infrastructure combined with state of the art simulation technology have become an important tool to support research and development in a variety of fields including computational neuroscience, medicine, bio-informatics, and machine learning. In this course the participants learn how to use High Performance Computing (HPC) infrastructure to accelerate simulations of spiking neural networks using the NEST framework. The students will learn how to model networks using NESTML and PyNN and acquire the necessary skills to simulate these models in a computationally efficient way. The students will also learn about three topics where supercomputing can critically speedup and enable neuroscience research: structural and synaptic plasticity, bio-inspired machine learning, and parameter optimization of brain models. |