This title appears in the Scientific Report : 2014 

Simulating large-scale spiking neuronal networks with NEST
Schücker, Jannis (Corresponding Author)
Eppler, Jochen Martin
Theoretical Neuroscience; IAS-6
Computational and Systems Neuroscience; INM-6
Computation Neuroscience Conference 2014, Quebec (Canada), 2014-07-23 - 2014-07-31
Theory, modelling and simulation
Brain-inspired multiscale computation in neuromorphic hybrid systems
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.It is helpful (but not required) for the tutorial, if NEST or another simulator for spiking neuronal networks has been used previously and if basic knowledge about neuronal modeling in general is present.[1] Marc-Oliver Gewaltig and Markus Diesmann (2007) NEST (Neural Simulation Tool), Scholarpedia 2 (4), p. 1430.[2] Tobias C. Potjans and Markus Diesmann (2014) The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model, Cerebral Cortex, 24:785-806, doi:10.1093/cercor/bhs358.