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NEST: An Environment for Neural Systems Simulations

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NEST is a framework for simulating large, structured neuronal systems. It is designed to investigate the functional behavior of neuronal systems in the context of their anatomical, morphological, and electrophysiological properties. NEST aims at large networks, while maintaining an appropriate degree of biological detail. This is achieved by combining a broad range of abstraction levels in a single network simulation. Great biological detail is then maintained only at the points of interest, while the rest of the system can be modeled by more abstract components. Here, we describe the conception of NEST and illustrate its key features. We demonstrate that software design and organizational aspects were of equal importance for the success of the project.


  title={{NEST: An environment for neural systems simulations}},
  author={Diesmann, M. and Gewaltig, M.O.},
  journal={Forschung und wisschenschaftliches Rechnen, Beitrage zum Heinz-Billing-Preis},