Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Dendritic and axonal wiring optimization of cortical GABAergic interneurons
Year:2016
Research Areas
  • Artificial intelligence
Information
Abstract
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.
International
Si
JCR
Si
Title
Neuroinformatics
ISBN
1539-2791
Impact factor JCR
2,864
Impact info
Datos JCR del año 2015
Volume
14
Journal number
4
From page
453
To page
464
Month
SIN MES
Ranking
Ranking: 15/104 (Quartile 1). Category: Computer science, interdisciplinary applications
Participants
  • 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)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Computational Intelligence Group
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)