Roberto Santana
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.
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- R. Santana, C. Bielza, and P. Larranaga. Network measures for re-using problem information in EDAs. Technical Report UPM-FI/DIA/2010--3, Department of Artificial Intelligence, Faculty of Informatics, Technical University of Madrid, June 2010.Google Scholar
Index Terms
- Maximizing the number of polychronous groups in spiking networks
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