Comput Math Methods Med - Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks.

Tópicos

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Resumo

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.

Resumo Limpo

import astrocyt one part glial system inform process brain recent demonstr regard inform process multilay connectionist system shown system includ artifici neuron astrocyt artifici neuronglia network wellknown advantag ident system includ artifici neuron sinc actual impact astrocyt neural network function unknown investig use comput model differ astrocyteneuron interact inform process differ neuronglia algorithm implement train valid multilay artifici neuronglia network orient toward classif problem resolut result test perform suggest algorithm model astrocyteinduc synapt potenti improv artifici neural network perform efficaci depend complex problem

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