Maximizing the number of polychronous groups in spiking networks

  • Authors:

  • Roberto Santana;Concha Bielza;Pedro Larrañaga

  • Affiliations:

  • University of the Basque Country (UPV/EHU), San Sebastian, Spain;Universidad Politécnica de Madrid, Madrid, Spain;Universidad Politécnica de Madrid, Madrid, Spain

  • Venue:
  • Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2012

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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.