This title appears in the Scientific Report :
2015
Please use the identifier:
http://dx.doi.org/10.5281/zenodo.44222 in citations.
NEST 2.10.0
NEST 2.10.0
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.
Saved in:
Personal Name(s): | Bos, Hannah |
---|---|
Morrison, Abigail / Peyser, Alexander / Hahne, Jan / Helias, Moritz / Kunkel, Susanne / Ippen, Tammo / Eppler, Jochen Martin / Schmidt, Maximilian / Seeholzer, Alex / Djurfeldt, Mikael / Diaz, Sandra / Morén, Janne / Deepu, Rajalekshmi / Stocco, Teo / Deger, Moritz / Michler, Frank / Plesser, Hans Ekkehard (Corresponding author) | |
Contributing Institute: |
Jülich Supercomputing Center; JSC JARA - HPC; JARA-HPC Computational and Systems Neuroscience; INM-6 |
Imprint: |
2015
|
DOI: |
10.5281/zenodo.44222 |
Document Type: |
Software |
Research Program: |
SimLab Neuroscience W2/W3 Professorinnen Programm der Helmholtzgemeinschaft Supercomputing and Modelling for the Human Brain Theory, modelling and simulation Computational Science and Mathematical Methods |
Publikationsportal JuSER |
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. |