Combining simulator independent network descriptions with run-time interoperability based on PyNN and MUSIC
Jochen Martin Eppler (Institute of Neuroscience and Medicine (INM-6), Computational and Systems Neuroscience, Research Center Jülich), Mikael Djurfeldt (PDC Center for High Performance Computing, School of Computer Science and Communication, KTH), Eilif Muller (Blue Brain Project, Ecole Polytechnique Fédérale de Lausanne (EPFL)), Markus Diesmann (Institute of Neuroscience and Medicine (INM-6), Computational and Systems Neuroscience, Research Center Jülich), Andrew Davison (Unité de Neurosciences Intégratives et Computationnelles (UNIC), Centre National de la Recherche Scientifique)
This approach works well for connecting multiple already existing models written for different simulators. An example for using this is given in . However, this approach requires the user to be familiar with the configuration languages of all simulators involved in the simulation.
To alleviate this problem, we extended the application programming interface (API) of PyNN , to enable the simulator-independent specification of multi-simulator neuronal network models.
In this contribution, we provide a detailed description of necessary changes to the existing software packages (i.e. NEST , NEURON  and PyNN) and the user experience for our prototype implementation of this API. The API allows the user to set up the network model using all of PyNN's high-level language constructs and abstracts away from the technical aspects of using the simulator's native MUSIC interfaces and setting up the multi-simulation.
Partially supported by the Helmholtz Alliance on Systems Biology, the Next-Generation Supercomputer Project of MEXT, and EU Grant 269921 (BrainScaleS).
 Mikael Djurfeldt et al (2010) Run-Time Interoperability between Neuronal Network Simulators based on the MUSIC Framework. Neuroinformatics 8:43–60. doi:10.1007/s12021-010-9064-z
 Andrew Davison et al (2008) PyNN: A common interface for neuronal network simulators. Front. Neuroinform. 2:11. doi:10.3389/neuro.11.011.2008
 Marc-Oliver Gewaltig and Markus Diesmann (2007) NEST (Neural Simulation Tool), Scholarpedia 2 (4), p. 1430.
 Michael Hines, Ted Carnevale (1997) The NEURON simulation environment. Neural Comp. 9: 178–1209.