Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks
The importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated. Regarding information processing in multilayer connectionist systems, it has been shown that systems which include artificial neurons and astrocytes (Artificial Neuron-...
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doaj-e64f1ebe4329449cb9193cff6c0f1f922020-11-24T22:26:00ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182012-01-01201210.1155/2012/476324476324Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural NetworksAlberto Alvarellos-González0Alejandro Pazos1Ana B. Porto-Pazos2Departamento de Tecnologías de la Información y las Comunicaciones, Facultad de Informática, Universidade da Coruña, Campus de Elviña, 15071 A Coruña, SpainDepartamento de Tecnologías de la Información y las Comunicaciones, Facultad de Informática, Universidade da Coruña, Campus de Elviña, 15071 A Coruña, SpainDepartamento de Tecnologías de la Información y las Comunicaciones, Facultad de Informática, Universidade da Coruña, Campus de Elviña, 15071 A Coruña, SpainThe importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated. Regarding information processing in multilayer connectionist systems, it has been shown that systems which include artificial neurons and astrocytes (Artificial Neuron-Glia Networks) have well-known advantages over identical systems including only artificial neurons. Since the actual impact of astrocytes in neural network function is unknown, we have investigated, using computational models, different astrocyte-neuron interactions for information processing; different neuron-glia algorithms have been implemented for training and validation of multilayer Artificial Neuron-Glia Networks oriented toward classification problem resolution. The results of the tests performed suggest that all the algorithms modelling astrocyte-induced synaptic potentiation improved artificial neural network performance, but their efficacy depended on the complexity of the problem.http://dx.doi.org/10.1155/2012/476324 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alberto Alvarellos-González Alejandro Pazos Ana B. Porto-Pazos |
spellingShingle |
Alberto Alvarellos-González Alejandro Pazos Ana B. Porto-Pazos Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks Computational and Mathematical Methods in Medicine |
author_facet |
Alberto Alvarellos-González Alejandro Pazos Ana B. Porto-Pazos |
author_sort |
Alberto Alvarellos-González |
title |
Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks |
title_short |
Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks |
title_full |
Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks |
title_fullStr |
Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks |
title_full_unstemmed |
Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks |
title_sort |
computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2012-01-01 |
description |
The importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated. Regarding information processing in multilayer connectionist systems, it has been shown that systems which include artificial neurons and astrocytes (Artificial Neuron-Glia Networks) have well-known advantages over identical systems including only artificial neurons. Since the actual impact of astrocytes in neural network function is unknown, we have investigated, using computational models, different astrocyte-neuron interactions for information processing; different neuron-glia algorithms have been implemented for training and validation of multilayer Artificial Neuron-Glia Networks oriented toward classification problem resolution. The results of the tests performed suggest that all the algorithms modelling astrocyte-induced synaptic potentiation improved artificial neural network performance, but their efficacy depended on the complexity of the problem. |
url |
http://dx.doi.org/10.1155/2012/476324 |
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