Event Abstract Back to Event NEST 2: a parallel simulator for large neuronal networks Markus Diesmann1*, Jochen M. Eppler2, Marc-Oliver Gewaltig2, Abigail Morrison1 and Hans E. Plesser3 1 RIKEN Brain Science Institute, Japan 2 Honda Research Institute Europe GmbH, Germany 3 Norwegian University of Life Sciences, Norway NEST is a simulation environment for large heterogeneous networks of point-neuron models or neuron models with a small number of compartments. It supports spike based as well as continuous (e.g. rate, currents) interaction between the nodes of the network. We present NEST 2 with PyNEST, a Python-based user interface (www.python.org), which makes it easier to learn and use NEST. Together with analysis packages like Scientific Python (www.scipy.org), users can now simulate networks and analyze results in a single interactive Python session. Pre-releases of NEST 2 have already been used with great success and appreciation at European summer schools since 2007. Other new features of NEST 2 include support for synaptic plasticity, a wide range of model neurons, and parallel simulation on multi-processor (core) computers as well as computer clusters, with excellent scaling properties up to thousands of processors. Users can add new neuron and synapse models, as well as new connection and analysis functions, by writing their own NEST modules in C++. We will demonstrate the capabilities of NEST 2 and invite visitors to try it interactively. For more information, please see the Scholarpedia article on NEST at http://www.scholarpedia.org/article/NEST. NEST is released under an open source license for non-commercial use. Conference: Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008. Presentation Type: Oral Presentation Topic: Live Demonstrations Citation: Diesmann M, Eppler JM, Gewaltig M, Morrison A and Plesser HE (2008). NEST 2: a parallel simulator for large neuronal networks. Front. Neuroinform. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.137 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 28 Jul 2008; Published Online: 28 Jul 2008. * Correspondence: Markus Diesmann, RIKEN Brain Science Institute, Tokyo, Japan, nemoABS01@frontiersin.org Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Markus Diesmann Jochen M Eppler Marc-Oliver Gewaltig Abigail Morrison Hans E Plesser Google Markus Diesmann Jochen M Eppler Marc-Oliver Gewaltig Abigail Morrison Hans E Plesser Google Scholar Markus Diesmann Jochen M Eppler Marc-Oliver Gewaltig Abigail Morrison Hans E Plesser PubMed Markus Diesmann Jochen M Eppler Marc-Oliver Gewaltig Abigail Morrison Hans E Plesser Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.