Maximizing the number of polychronous groups in spiking networks

Maximizing the number of polychronous groups in spiking networks” by R. Santana, C. Bielza, and P. Larrañaga. In Companion Proceedings of the 2012 Genetic and Evolutionary Computation Conference GECCO-2012, (Philadelphia, US), 2012, pp. 1499-1500.

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.

BibTeX entry:

@inproceedings{Santana_et_al:2012d,
   author = {R. Santana and C. Bielza and P. Larra{\~n}aga},
   title = {Maximizing the number of polychronous groups in spiking networks},
   booktitle = {Companion Proceedings of the 2012 Genetic and Evolutionary
	Computation Conference GECCO-2012},
   pages = {1499--1500},
   publisher = {ACM Press},
   address = {Philadelphia, US},
   year = {2012},
   url = {http://dl.acm.org/citation.cfm?id=2331012}
}

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