This title appears in the Scientific Report : 2015 

NEST 2.10.0
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)
Jülich Supercomputing Center; JSC
JARA - HPC; JARA-HPC
Computational and Systems Neuroscience; INM-6
2015
10.5281/zenodo.44222
Software
SimLab Neuroscience
W2/W3 Professorinnen Programm der Helmholtzgemeinschaft
Supercomputing and Modelling for the Human Brain
Theory, modelling and simulation
Computational Science and Mathematical Methods
Please use the identifier: http://dx.doi.org/10.5281/zenodo.44222 in citations.
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.