This title appears in the Scientific Report : 2014 

Simulating large-scale spiking neuronal networks with NEST
Senk, Johanna (Corresponding Author)
Diesmann, Markus
Computational and Systems Neuroscience; INM-6
Theoretical Neuroscience; IAS-6
1st Human Brain Project Flagship School, Alpbach (Austria), 2014-09-08 - 2014-09-14
Theory, modelling and simulation
The Human Brain Project
Supercomputing and Modelling for the Human Brain
Signalling Pathways and Mechanisms in the Nervous System
The neural simulation tool NEST [1,] is a simulator for heterogeneous networks of point neurons or neurons with a small number of electrical compartments aiming at simulations of large neural systems. It is implemented in C++ and runs on a large range of architectures from single-processor desktop computers to large clusters and supercomputers with thousands of processor cores.With the example of the microcircuit model published by Potjans and Diesmann [2], we explain the basic modeling paradigm and features of the recently released version 2.4 of NEST. The tutorial includes an introduction to the most important neuron and synapse models as well as the routines to set up and configure the network.