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Santana, Roberto, Larrañaga Múgica, Pedro María ORCID: https://orcid.org/0000-0002-1885-4501 and Bielza Lozoya, Maria Concepcion
ORCID: https://orcid.org/0000-0001-7109-2668
(2012).
Maximizing the number of polychronous groups in spiking networks.
In: "14th Annual Genetic and Evolutionary Computation Conference (GECCO-2012)", 07/07/2012 - 11/07/2013, Philadelphia, PA, USA.. ISBN 978-1-4503-1178-6. pp. 1499-1500.
Title: | Maximizing the number of polychronous groups in spiking networks |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 14th Annual Genetic and Evolutionary Computation Conference (GECCO-2012) |
Event Dates: | 07/07/2012 - 11/07/2013 |
Event Location: | Philadelphia, PA, USA. |
Title of Book: | Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO-2012) |
Date: | 2012 |
ISBN: | 978-1-4503-1178-6 |
Subjects: | |
Freetext Keywords: | polychronization, spiking neural network, estimation of distribution algorithm, perforación de redes neuronales, estimación de la distribución de algoritmos. |
Faculty: | Facultad de Informática (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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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.
Item ID: | 20294 |
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DC Identifier: | https://oa.upm.es/20294/ |
OAI Identifier: | oai:oa.upm.es:20294 |
Official URL: | http://dl.acm.org/citation.cfm?doid=2330784.233101... |
Deposited by: | Memoria Investigacion |
Deposited on: | 23 Oct 2013 17:01 |
Last Modified: | 20 Feb 2023 08:50 |