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Duta, Mihaela; Plunkett, Kim – Child Development, 2023
We present a neural network model of referent identification in a visual world task. Inputs are visual representations of item pairs unfolding with sequences of phonemes identifying the target item. The model is trained to output the semantic representation of the target and to suppress the distractor. The training set uses a 200-word lexicon…
Descriptors: Networks, Models, Brain, Child Language
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Valenza, Eloisa; Leo, Irene; Gava, Lucia; Simion, Francesca – Child Development, 2006
Despite decades of studies of human infants, a still open question concerns the role of visual experience in the development of the ability to perceive complete shapes over partial occlusion. Previous studies show that newborns fail to manifest this ability, either because they lack the visual experience required for perceptual completion or…
Descriptors: Neonates, Visual Perception, Motion