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Memorias de investigación
Artículos en revistas:
Dendritic and axonal wiring optimization of cortical GABAergic interneurons
Año:2016
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
The way in which a neuronal tree expands plays an important role in its functional and computational characteristics. We aimed to study the existence of an optimal neuronal design for different types of cortical GABAergic neurons. To do this, we hypothesized that both the axonal and dendritic trees of individual neurons optimize brain connectivity in terms of wiring length. We took the branching points of real three-dimensional neuronal reconstructions of the axonal and dendritic trees of different types of cortical interneurons and searched for the minimal wiring arborization structure that respects the branching points. We compared the minimal wiring arborization with real axonal and dendritic trees. We tested this optimization problem using a new approach based on graph theory and evolutionary computation techniques. We concluded that neuronal wiring is near-optimal in most of the tested neurons, although the wiring length of dendritic trees is generally nearer to the optimum. Therefore, wiring economy is related to the way in which neuronal arborizations grow irrespective of the marked differences in the morphology of the examined interneurons.
Internacional
Si
JCR del ISI
Si
Título de la revista
Neuroinformatics
ISSN
1539-2791
Factor de impacto JCR
2,864
Información de impacto
Datos JCR del año 2015
Volumen
14
DOI
Número de revista
4
Desde la página
453
Hasta la página
464
Mes
SIN MES
Ranking
Ranking: 15/104 (Quartile 1). Category: Computer science, interdisciplinary applications
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Laura Anton Sanchez (UPM)
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Autor: Ruth Benavides Piccione (UPM)
  • Autor: Javier De Felipe Oroquieta (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Computational Intelligence Group
  • Departamento: Inteligencia Artificial
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