Memorias de investigación
Ponencias en congresos:
Towards optimal neuronal wiring through estimation of distribution algorithms
Año:2013

Áreas de investigación
  • Inteligencia artificial

Datos
Descripción
One of the greatest challenges of our time is to understand brain functions. Our goal is to study the existence of an optimal neuronal design, defined as the one that has a minimum total wiring. Many researchers have studied the problem of optimal wiring in neuronal trees. Here we propose a new approach. We start from point clouds formed by the branching points of real neuronal trees and we search for the optimal forest from these point clouds. To do this, we formalize the problem as a forest of degree constrained minimum spanning trees (DCMST). Since the DCMST problem is NP-hard, we will try to solve it using estimation of distribution algorithms, particularly in permutation domains.
Internacional
Si
Nombre congreso
Genetic and evolutionary computation conference
Tipo de participación
960
Lugar del congreso
Amsterdam
Revisores
Si
ISBN o ISSN
978-1-4503-1964-5
DOI
Fecha inicio congreso
06/07/2013
Fecha fin congreso
10/07/2013
Desde la página
1647
Hasta la página
1650
Título de las actas
GECCO '13 Companion Proceedings of the 15th annual conference companion on Genetic and evolutionary computation

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Departamento: Inteligencia Artificial