This title appears in the Scientific Report :
2017
NESTML Tutorial
NESTML Tutorial
The fast advancements in neuroscience and the multitude of newly developed neuron models require a language to describe neurons by means of equations and state transitions. The capability of implementing new models in precise agreement with their mathematical definition and subsequently running comp...
| Personal Name(s): | Blundell, Inga (Corresponding author) |
|---|---|
| Plotnikov, Dimitri / Eppler, Jochen Martin | |
| Contributing Institute: |
Jülich Supercomputing Center; JSC Computational and Systems Neuroscience; INM-6 JARA-BRAIN; JARA-BRAIN JARA - HPC; JARA-HPC Computational and Systems Neuroscience; IAS-6 |
| Imprint: |
2017
|
| Conference: | 7th International Conference "Aspects of Neuroscience", Warsaw (Poland), 2017-11-24 - 2017-11-26 |
| Document Type: |
Conference Presentation |
| Research Program: |
SimLab Neuroscience W2/W3 Professorinnen Programm der Helmholtzgemeinschaft Human Brain Project Specific Grant Agreement 1 Computational Science and Mathematical Methods Theory, modelling and simulation |
| Publikationsportal JuSER |
|
The fast advancements in neuroscience and the multitude of newly developed neuron models require a language to describe neurons by means of equations and state transitions. The capability of implementing new models in precise agreement with their mathematical definition and subsequently running computationally efficient simulations is essential for progress on the theoretical foundation of neuroscience. The use of abstract modelling languages like NESTML enables neuroscientists to formally specify their models and to automatically produce high level simulation code that runs efficiently on various computer architectures. The workshop provides students with concepts and hands on experience in this language to facilitate a seamless workflow between theory and simulation. |