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[Abstract] 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.

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Repositorio de la Universidade da Coruña. RUC  

Autor(es)

Alvarellos -  González, Alberto -  Pazos, A. -  Porto -  Pazos, Ana B. - 

Id.: 71380524

Idioma: eng  - 

Versión: 1.0

Estado: Final

Palabras claveAlgorithms - 

Tipo de recurso: info:eu-repo/semantics/article  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Atribución 3.0 España

Requerimientos técnicos:  Browser: Any - 

Relación: [References] http://dx.doi.org/10.1155/2012/476324

Fecha de contribución: 14-jun-2018

Contacto:

Localización:
* 1748-670X
* 1748-6718

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