Communications at congresses:
Maximizing the number of polychronous groups in spiking networks
Year:2012
Research Areas
- Artificial intelligence
Information
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Abstract
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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. | |
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International
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Congress
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GECCO Companion '12 Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion |
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960 |
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Place
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Reviewers
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ISBN/ISSN
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978-1-4503-1178-6 |
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Start Date
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07/07/2012 |
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End Date
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11/07/2013 |
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From page
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1499 |
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To page
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1500 |
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Companion Material Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO-2012), ACM Digital Library, 1499-1500 |
Open Access publication
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