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Spike-timing prediction in cortical neurons with active dendrites

A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present a study of a simplified model of deep pyramidal cells of the cortex with active dendrites. We hypothesized that we can model the soma and its apical dendrite with only two compartments, without signif...

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Detalles Bibliográficos
Autores principales: Naud, Richard, Bathellier, Brice, Gerstner, Wulfram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131408/
https://www.ncbi.nlm.nih.gov/pubmed/25165443
http://dx.doi.org/10.3389/fncom.2014.00090
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author Naud, Richard
Bathellier, Brice
Gerstner, Wulfram
author_facet Naud, Richard
Bathellier, Brice
Gerstner, Wulfram
author_sort Naud, Richard
collection PubMed
description A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present a study of a simplified model of deep pyramidal cells of the cortex with active dendrites. We hypothesized that we can model the soma and its apical dendrite with only two compartments, without significant loss in the accuracy of spike-timing predictions. The model is based on experimentally measurable impulse-response functions, which transfer the effect of current injected in one compartment to current reaching the other. Each compartment was modeled with a pair of non-linear differential equations and a small number of parameters that approximate the Hodgkin-and-Huxley equations. The predictive power of this model was tested on electrophysiological experiments where noisy current was injected in both the soma and the apical dendrite simultaneously. We conclude that a simple two-compartment model can predict spike times of pyramidal cells stimulated in the soma and dendrites simultaneously. Our results support that regenerating activity in the apical dendritic is required to properly account for the dynamics of layer 5 pyramidal cells under in-vivo-like conditions.
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spelling pubmed-41314082014-08-27 Spike-timing prediction in cortical neurons with active dendrites Naud, Richard Bathellier, Brice Gerstner, Wulfram Front Comput Neurosci Neuroscience A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present a study of a simplified model of deep pyramidal cells of the cortex with active dendrites. We hypothesized that we can model the soma and its apical dendrite with only two compartments, without significant loss in the accuracy of spike-timing predictions. The model is based on experimentally measurable impulse-response functions, which transfer the effect of current injected in one compartment to current reaching the other. Each compartment was modeled with a pair of non-linear differential equations and a small number of parameters that approximate the Hodgkin-and-Huxley equations. The predictive power of this model was tested on electrophysiological experiments where noisy current was injected in both the soma and the apical dendrite simultaneously. We conclude that a simple two-compartment model can predict spike times of pyramidal cells stimulated in the soma and dendrites simultaneously. Our results support that regenerating activity in the apical dendritic is required to properly account for the dynamics of layer 5 pyramidal cells under in-vivo-like conditions. Frontiers Media S.A. 2014-08-13 /pmc/articles/PMC4131408/ /pubmed/25165443 http://dx.doi.org/10.3389/fncom.2014.00090 Text en Copyright © 2014 Naud, Bathellier and Gerstner. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Naud, Richard
Bathellier, Brice
Gerstner, Wulfram
Spike-timing prediction in cortical neurons with active dendrites
title Spike-timing prediction in cortical neurons with active dendrites
title_full Spike-timing prediction in cortical neurons with active dendrites
title_fullStr Spike-timing prediction in cortical neurons with active dendrites
title_full_unstemmed Spike-timing prediction in cortical neurons with active dendrites
title_short Spike-timing prediction in cortical neurons with active dendrites
title_sort spike-timing prediction in cortical neurons with active dendrites
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131408/
https://www.ncbi.nlm.nih.gov/pubmed/25165443
http://dx.doi.org/10.3389/fncom.2014.00090
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