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NEST 2.10.0
Bos, H.FZJ* ; Morrison, A.FZJ* ; Peyser, A.FZJ* ; Hahne, J. ; Helias, M.FZJ* ; Kunkel, S.FZJ* ; Ippen, T.FZJ* ; Eppler, J. M.FZJ* ; Schmidt, M.FZJ* ; Seeholzer, A. ; Djurfeldt, M. ; Diaz, S.FZJ* ; Morén, J. ; Deepu, R.FZJ* ; Stocco, T. ; Deger, M. ; Michler, F. ; Plesser, H. E. (Corresponding author)
2015
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Please use a persistent id in citations: doi:10.5281/zenodo.44222
Abstract: NEST is a highly scalable simulator for networks of point or few-compartment spiking neuron models. It includes multiple synaptic plasticity models, gap junctions, and the capacity to define complex network structure.
Contributing Institute(s):
- Jülich Supercomputing Center (JSC)
- Computational and Systems Neuroscience (INM-6)
- JARA - HPC (JARA-HPC)
Research Program(s):
- 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
- 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
- SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
- W2Morrison - W2/W3 Professorinnen Programm der Helmholtzgemeinschaft (B1175.01.12) (B1175.01.12)
- SLNS - SimLab Neuroscience (Helmholtz-SLNS) (Helmholtz-SLNS)
Appears in the scientific report
2015