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Memorias de investigación
Communications at congresses:
Maximizing the number of polychronous groups in spiking networks
Year:2012
Research Areas
  • Artificial intelligence
Information
Abstract
In this paper we investigate the effect of biasing the axonal connection delay values in the number of polychronous groups produced for a spiking neuron network model. We use an estimation of distribution algorithm (EDA) that learns tree models to search for optimal delay configurations. Our results indicate that the introduced approach can be used to considerably increase the number of such groups.
International
Si
Congress
GECCO Companion '12 Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion
960
Place
Reviewers
Si
ISBN/ISSN
978-1-4503-1178-6
Start Date
07/07/2012
End Date
11/07/2013
From page
1499
To page
1500
Companion Material Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO-2012), ACM Digital Library, 1499-1500
Participants
  • Autor: Roberto Santana Hermida (UPM)
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Departamento: Inteligencia Artificial
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