The effect of the input correlation structure on pyramidal layer V neurons

Abstract

Event Abstract Back to Event The effect of the input correlation structure on pyramidal layer V neurons Miha Pelko1* and Mark C. Van Rossum1 1 University of Edinburgh, School of Informatics, United Kingdom Each cortical neuron is constantly receiving synaptic inputs from thousands of presynaptic neurons. Already the most simple spiking neuron models show that the output of a neuron is not only determined by its input rates of the presynaptic neurons, but also by the correlation of the input trains. Using simulations of pyramidal layer V neurons we investigated how the output is modulated by the higher order correlations in the excitatory and inhibitory inputs. We demonstrate how the higher order correlations affect the output firing of the stimulated neuron by exposing it to Poisson input trains with the same spiking rates and second order correlations but different higher order correlation profiles. The results show that higher order correlations can significantly alter the statistics of the single neuron firing. Thus in order to understand neural processing experimental characterization and theoretical analysis of the higher order correlations is needed. Keywords: compartmental models, higher order correlations, input integration, layer V pyramidal neuron Conference: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011. Presentation Type: Poster Topic: neural encoding and decoding (please use "neural coding and decoding" as keyword) Citation: Pelko M and Van Rossum MC (2011). The effect of the input correlation structure on pyramidal layer V neurons. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00106 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: 23 Aug 2011; Published Online: 04 Oct 2011. * Correspondence: Mr. Miha Pelko, University of Edinburgh, School of Informatics, Edinburgh, United Kingdom, miha.pelko@ed.ac.uk 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 Miha Pelko Mark C Van Rossum Google Miha Pelko Mark C Van Rossum Google Scholar Miha Pelko Mark C Van Rossum PubMed Miha Pelko Mark C Van Rossum 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.