Naming requires recognition. Recognition requires the ability to categorize objects and events. What mechanisms in the brain underlie the unfolding of these capacities? In this article, we describe a neural network model in which artificially created individuals are exposed to visual stimuli and vocal sounds and are tested in experiments like human children. The model simulates, in a biologically plausible way, the process by which infants learn how to recognize objects and words through experience. © 2007 IEEE.

Artificial learners of objects and names

De La Cruz V.;
2007-01-01

Abstract

Naming requires recognition. Recognition requires the ability to categorize objects and events. What mechanisms in the brain underlie the unfolding of these capacities? In this article, we describe a neural network model in which artificially created individuals are exposed to visual stimuli and vocal sounds and are tested in experiments like human children. The model simulates, in a biologically plausible way, the process by which infants learn how to recognize objects and words through experience. © 2007 IEEE.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/176226
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