Artificial neural networks are a neurobiologically inspired paradigm that emulates the functioning of the brain. They are based on neuronal function, because neurons are recognized as the cellular elements responsible for the brain information processing. However, recent studies have demonstrated that astrocytes can signal to other astrocytes and can communicate reciprocally with neurons, which suggests a more active role of astrocytes in the nervous system physiology and fundamental brain functions. This novel vision of the glial role on brain function calls for a reexamination of our current vision of artificial neural networks, which should be expanded to consider artificial neuroglial networks. The neuroglial network concept has not been yet applied to the computational and artificial intelligent sciences. However, the implementation of artificial neuroglial networks by incorporating glial cells as part of artificial neural networks may be as fruitful and successful for artificial networks as they have been for biological networks.
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Ana B. Porto, Alejandro Pazos
Eduardo D. Martin, Alfonso Araque
Paulo Cortez, Miguel Rocha, José Neves
Julián Dorado, Nieves Pedreira, Mónica Miguelez
Daniel Manrique, Juan Rios, Alfonso Rodriguez-Paton
Daniel Rivero, Miguel Varela, Javier Pereira
Marcos G. Pose, Alberto C. Carollo, José M.A. Garda, Mari P. Gomez-Carracedo
Juan R. Rabunal, Juan Puertas
Belén Gonzalez, M. Isabel Martinez, Diego Carro
Robert Perkins, Anthony Brabazon
Alfonso Iglesias, Bernardino Arcay, José M. Cotos
Kun-Chang Lee, Tae-Young Paik
Tarun Bhaskar, Narasimha Kamath B.
Alejandra Rodriguez, Carlos Dafonte, Bernardino Arcay, Iciar Carricajo, Minia Manteiga