A model for generating synthetic dendrites of cortical neurons

Fernández Martín, Jaime and Fernandez, Laura and Benavides-Piccione, Ruth and Ballesteros-Yañez, Inmaculada and DeFelipe, Javier and Peña Sanchez, Jose Maria (2010). A model for generating synthetic dendrites of cortical neurons. In: "23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010", 01/06/2010 - 04/06/2010, Córdoba, España. ISBN 978-3-642-13032-8.

Description

Title: A model for generating synthetic dendrites of cortical neurons
Author/s:
  • Fernández Martín, Jaime
  • Fernandez, Laura
  • Benavides-Piccione, Ruth
  • Ballesteros-Yañez, Inmaculada
  • DeFelipe, Javier
  • Peña Sanchez, Jose Maria
Item Type: Presentation at Congress or Conference (Article)
Event Title: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010
Event Dates: 01/06/2010 - 04/06/2010
Event Location: Córdoba, España
Title of Book: Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010
Date: 2010
ISBN: 978-3-642-13032-8
Volume: 6098
Subjects:
Freetext Keywords: Bioinformatics - Machine Learning - Neurosciencie - Microstructure Neuronal Morphology
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

One of the main challenges in neuroscience is to define the detailed structural design of the nervous system. This challenge is one of the first steps towards understanding how neural circuits contribute to the functional organization of the nervous system. In the cerebral cortex pyramidal neurons are key elements in brain function as they represent the most abundant cortical neuronal type and the main source of cortical excitatory synapses. Therefore, many researchers are interested in the analysis of the microanatomy of pyramidal cells since it constitutes an excellent tool for better understanding cortical processing of information. Computational models of neuronal networks based on real cortical circuits have become useful tools for studying certain aspects of the functional organization of the neocortex. Neuronal morphologies (morphological models) represent key features in these functional models. For these purposes, synthetic or virtual dendritic trees can be generated through a morphological model of a given neuronal type based on real morphometric parameters obtained from intracellularly-filled single neurons. This paper presents a new method to construct virtual dendrites by means of sampling a branching model that represents the dendritic morphology. This method has been contrasted using complete basal dendrites from 374 layer II/III pyramidal neurons of the mouse neocortex.

More information

Item ID: 7686
DC Identifier: http://oa.upm.es/7686/
OAI Identifier: oai:oa.upm.es:7686
Official URL: http://www.springerlink.com/content/35500h111g4721n6/
Deposited by: Memoria Investigacion
Deposited on: 29 Jun 2011 08:33
Last Modified: 20 Apr 2016 16:45
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