Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/57074
Title: Neuronas artificiales para la simulación del reflejo condicionado
Authors: García Santesmases, José
Moreno Díaz, Roberto 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1990
Journal: Informática y automática: revista de la Asociación Española de Informática y Automática
Abstract: A neural model based on Pavlovian conditioning theories has been devised, which make use of irradiation of excitation to obtain nets verifying conditioned reflexes. The net consist of a set of concentrated-element lines, and the stimuli can propagate from line to another according to some conditioning rules. To that end, a cocupling among lines, that we have called Integrating Junction, has been stablished In the same way we have made use of the fact that sinaptic efficiency increases with using, to devise a second model with self -facilitation- i. e., it is just the same firing of the neuron what lowers the threshold. Both units have been made use of to obtain nets verifying a more complex form of conditioning, involving adaptation, remaining menory, stimuli discrimination etc.
URI: http://hdl.handle.net/10553/57074
ISSN: 0214-932X
Source: Informática y automática : revista de la Asociación Española de Informática y Automática [ISSN 0214-932X], v. 23 (2), p. 43-52
URL: http://dialnet.unirioja.es/servlet/articulo?codigo=4079371
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