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.
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