Event Abstract Back to Event Simulation of innervation and activation scenarios of morphologically detailed, large-scale neuron networks in a column of the primary somatosensory cortex with NeuroDUNE Stefan Lang1*, Marcel Oberlaender2, Peter Bastian1 and Bert Sakmann2 1 University of Heidelberg, Parallel Computing Group, Interdisciplinary Center for Scientific Computing, Germany 2 Max Planck Florida Institute, Department of Digital Neuroanatomy, United States To understand and describe how the cortex processes sensory information about its environment within functional explanatory models and to understand how the model structure can be related to behavior is of special interest in neuroscience. The information related to the deflection of a single facial whisker on the snout of rodents (e.g. mice and rats) is processed by a network of about 17500 neurons (in rat), substructured by 9 distinct cell types in a cortical column. We present numerical simulations of morphological detailed, large-scale neuron networks. Network generation is based on experimentally determined 3D neuron distributions. Furthermore, individual network cells are derived from anatomically reconstructed and then quantitatively classified neuronal cell-types. Synapse densities are statistically distributed on each cell according to measured anatomical and functional data. As example of a quantitatively determined microcircuit we simulate the thalamocortical pathway (VPM) providing excitatory input to the networks in barrel cortex. Since no definitive information about the innervation is present we investigate several innervation scenarios in relation to the network response. Network activation is analyzed with regard to biophysically relevant quantities such as subthreshold response, number of activated synapses as well as spike output of the VPM-activated network. The previously described statistical approach to build networks necessitates Monte-Carlo simulation to determine quantities of interest by ensemble averaging. An ensemble individual consists hereby of a single large-scale network realisation consisting of morphologically detailed neurons activated by the driving VPM cells with multivariate statistical wiring. To perform simulations and analyse responses of distinct ensemble series we use the numerical framework, NeuroDUNE, that has been developed to enable modeling and simulation of signal processing in such large-scale, full-compartmental neuron networks on sub cellular basis. Figure !: Left: Morphological detailed L5B cell with statistically constrained synapse distribution (red dots). Middle Left: Subthreshold activation of a small network of 60 L5B cells. Middle Right: Column response to VPM activation, spiking cell somata in green. Right: Relationship between cell specific quantities and cell activation: number of synapses (blue), number of activated synapses (green). Spike times as red marks indicate cell response (ms from whisker deflection). Figure 1 Keywords: computational neuroscience Conference: Bernstein Conference on Computational Neuroscience, Berlin, Germany, 27 Sep - 1 Oct, 2010. Presentation Type: Poster Abstract Topic: Bernstein Conference on Computational Neuroscience Citation: Lang S, Oberlaender M, Bastian P and Sakmann B (2010). Simulation of innervation and activation scenarios of morphologically detailed, large-scale neuron networks in a column of the primary somatosensory cortex with NeuroDUNE. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00014 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: 22 Sep 2010; Published Online: 23 Sep 2010. * Correspondence: Dr. Stefan Lang, University of Heidelberg, Parallel Computing Group, Interdisciplinary Center for Scientific Computing, Heidelberg, Germany, Stefan.Lang@iwr.uni-heidelberg.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 Stefan Lang Marcel Oberlaender Peter Bastian Bert Sakmann Google Stefan Lang Marcel Oberlaender Peter Bastian Bert Sakmann Google Scholar Stefan Lang Marcel Oberlaender Peter Bastian Bert Sakmann PubMed Stefan Lang Marcel Oberlaender Peter Bastian Bert Sakmann 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.