TY - JOUR
AU - 
AB - ORIGINAL RESEARCH ARTICLE published: 27 January 2009 NEUROINFORMATICS doi: 10.3389/neuro.11.011.2008 1 2 3,4 5,6 7 8 Andrew P . Davison *, Daniel Brüderle , Jochen Eppler , Jens Kremkow , Eilif Muller , Dejan Pecevski , 6 1 Laurent Perrinet and Pierre Yger Unité de Neurosciences Intégratives et Computationelles, CNRS, Gif sur Yvette, France Kirchhoff Institute for Physics, University of Heidelberg, Heidelberg, Germany Honda Research Institute Europe GmbH, Offenbach, Germany Berstein Center for Computational Neuroscience, Albert-Ludwigs-University, Freiburg, Germany Neurobiology and Biophysics, Institute of Biology III, Albert-Ludwigs-University, Freiburg, Germany Institut de Neurosciences Cognitives de la Méditerranée, CNRS, Marseille, France Laboratory of Computational Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Institute for Theoretical Computer Science, Graz University of Technology, Graz, Austria Edited by: Computational neuroscience has produced a diversity of software for simulations of networks of Rolf Kötter, Radboud University spiking neurons, with both negative and positive consequences. On the one hand, each simulator Nijmegen, The Netherlands uses its own programming or confi guration language, leading to considerable diffi culty in porting Reviewed by: models from one simulator to another. This impedes communication between investigators and Graham Cummins, Montana State University, USA makes it harder to reproduce and build on 
TI - PyNN: a common interface for neuronal network simulators
JF - Frontiers in Neuroinformatics
DO - 10.3389/neuro.11.011.2008
DA - 2008-01-01
UR - https://www.deepdyve.com/lp/unpaywall/pynn-a-common-interface-for-neuronal-network-simulators-RUwGOL90EK
DP - DeepDyve
ER -