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NEST 3.2
de Schepper, R. ; Eppler, J. M.FZJ* ; Kurth, A.FZJ* ; Nagendra Babu, P. ; Deepu, R.FZJ* ; Spreizer, S. ; Trensch, G.FZJ* ; Pronold, J.FZJ* ; Vennemo, S. B.FZJ* ; Graber, S.FZJ* ; Morales-Gregorio, A.FZJ* ; Linssen, C.FZJ* ; Benelhedi, M. A.FZJ* ; Mørk, H. ; Morrison, A.FZJ* ; Terhorst, D. (Corresponding author)FZJ* ; Mitchell, J.FZJ* ; Diaz, S.FZJ* ; Kitayama, I.FZJ* ; Enan, M. ; Kamiji, N. L.Extern* ; Plesser, H. E.FZJ*
2022
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Please use a persistent id in citations: doi:10.5281/ZENODO.5886894
Abstract: NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. For further information, visit https://www.nest-simulator.org. The release notes for this release are available at https://github.com/nest/nest-simulator/releases/tag/v3.2. Zenodo record: 10.5281/zenodo.5886894.
Contributing Institute(s):
- Computational and Systems Neuroscience (INM-6)
- Theoretical Neuroscience (IAS-6)
- Jara-Institut Brain structure-function relationships (INM-10)
Research Program(s):
- 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
- 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
- 5232 - Computational Principles (POF4-523) (POF4-523)
- 5235 - Digitization of Neuroscience and User-Community Building (POF4-523) (POF4-523)
- HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
Appears in the scientific report
2022