Event Abstract Back to Event Matching Network Dynamics Generated by a Neuromorphic Hardware System and by a Software Simulator Daniel Brüderle1*, Jens Kremkow2, 3, Andreas Bauer1, Laurent Perrinet4, Ad Aertsen2, 3, Guillaume S. Masson4 and Karlheinz Meier1 1 Ruperto-Carola University, Kirchhoff Institute for Physics, Germany 2 Bernstein Center for Computational Neuroscience, Germany 3 Albert-Ludwigs-University, Neurobiology and Biophysics, Germany 4 UMR6193 CNRS - Aix-Marseille Universite, Institut de Neurosciences Cognitives de la Mediterranee, France We introduce and utilize a novel methodological framework for the unified setup, execution and analysis of cortical network experiments on both a neuromorphic hardware device and a software simulator. In order to be able to quantitatively compare data from both domains, we developed hardware calibration and parameter mapping procedures that allow for a direct biological interpretation of the hardware output. Building upon this, we integrated the hardware interface into the simulator-independent modeling language PyNN. We present the results of a cortical network model that is both emulated on the hardware system and computed with the software simulator NEST. With respect to noise and transistor level variations in the VLSI device, we propose that statistical descriptors are adequate for the discrimination between states of emerging network dynamics. We apply measures for the rate, the synchrony and the regularity of spiking as a function of the recurrent inhibition within the network and of the external stimulation strength. We discuss the biological relevance of the experimental results and the correspondence between both platforms in terms of the introduced measures. Conference: Bernstein Conference on Computational Neuroscience, Frankfurt am Main, Germany, 30 Sep - 2 Oct, 2009. Presentation Type: Poster Presentation Topic: Dynamical systems and recurrent networks Citation: Brüderle D, Kremkow J, Bauer A, Perrinet L, Aertsen A, Masson GS and Meier K (2009). Matching Network Dynamics Generated by a Neuromorphic Hardware System and by a Software Simulator. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.036 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: 26 Aug 2009; Published Online: 26 Aug 2009. * Correspondence: Daniel Brüderle, Ruperto-Carola University, Kirchhoff Institute for Physics, Heidelberg, Germany, mail@danielbruederle.de 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 Daniel Brüderle Jens Kremkow Andreas Bauer Laurent Perrinet Ad Aertsen Guillaume S Masson Karlheinz Meier Google Daniel Brüderle Jens Kremkow Andreas Bauer Laurent Perrinet Ad Aertsen Guillaume S Masson Karlheinz Meier Google Scholar Daniel Brüderle Jens Kremkow Andreas Bauer Laurent Perrinet Ad Aertsen Guillaume S Masson Karlheinz Meier PubMed Daniel Brüderle Jens Kremkow Andreas Bauer Laurent Perrinet Ad Aertsen Guillaume S Masson Karlheinz Meier 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.