The approach used and discussed here is one that simulates early lexicalacquisition from a neural point of view. We use a hierarchy of artificialcortical maps that builds and develops models of artificial learners that aresubsequently trained to recognize objects, their names, and then the adjectivespertaining to their color. Results of the model can explain what has emerged ina series of developmental research studies in early language acquisition, andcan account for the different developmental patterns followed by children inacquiring nouns and adjectives, by perceptually driven associational learningprocesses at the synaptic level.

The approach used and discussed here is one that simulates early lexical acquisition from a neural point of view.We use a hierarchy of artificial corticalmaps that builds and develops models of artificial learners that are subsequently trained to recognize objects, their names, and then the adjectives pertaining to their color. Results of the model can explain what has emerged in a series of developmental research studies in early language acquisition, and can account for the different developmental patterns followed by children in acquiring nouns and adjectives, by perceptually driven associational learning processes at the synaptic level.

In learning nouns and adjectives remembering matters: a cortical model

PLEBE, Alessio;DE LA CRUZ, VIVIAN MILAGROS;MAZZONE, MARCO
2013-01-01

Abstract

The approach used and discussed here is one that simulates early lexical acquisition from a neural point of view.We use a hierarchy of artificial corticalmaps that builds and develops models of artificial learners that are subsequently trained to recognize objects, their names, and then the adjectives pertaining to their color. Results of the model can explain what has emerged in a series of developmental research studies in early language acquisition, and can account for the different developmental patterns followed by children in acquiring nouns and adjectives, by perceptually driven associational learning processes at the synaptic level.
2013
978-3-642-31863-4
The approach used and discussed here is one that simulates early lexicalacquisition from a neural point of view. We use a hierarchy of artificialcortical maps that builds and develops models of artificial learners that aresubsequently trained to recognize objects, their names, and then the adjectivespertaining to their color. Results of the model can explain what has emerged ina series of developmental research studies in early language acquisition, andcan account for the different developmental patterns followed by children inacquiring nouns and adjectives, by perceptually driven associational learningprocesses at the synaptic level.
neural network simulation; language; memory
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/76563
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