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Lewkowicz, David J.; Leo, Irene; Simion, Francesca – Infancy, 2010
Previous studies have shown that infants, including newborns, can match previously unseen and unheard human faces and vocalizations. More recently, it has been reported that infants as young as 4 months of age also can match the faces and vocalizations of other species raising the possibility that such broad multisensory perceptual tuning is…
Descriptors: Neonates, Nonverbal Communication, Visual Stimuli, Visual Perception
Jaime, Mark; Bahrick, Lorraine; Lickliter, Robert – Infancy, 2010
We explored the amount and timing of temporal synchrony necessary to facilitate prenatal perceptual learning using an animal model, the bobwhite quail. Quail embryos were exposed to various audiovisual combinations of a bobwhite maternal call paired with patterned light during the late stages of prenatal development and were tested postnatally for…
Descriptors: Prenatal Influences, Child Development, Perceptual Development, Animals
Lickliter, Robert; Bahrick, Lorraine E.; Honeycutt, Hunter – Infancy, 2004
Information presented concurrently and redundantly to 2 or more senses (intersensory redundancy) has been shown to recruit attention and promote perceptual learning of amodal stimulus properties in animal embryos and human infants. This study examined whether the facilitative effect of intersensory redundancy also extends to the domain of memory.…
Descriptors: Stimulation, Attention, Infants, Memory
Shultz, Thomas R.; Cohen, Leslie B. – Infancy, 2004
We used an encoder version of cascade correlation to simulate Younger and Cohen's (1983, 1986) finding that 10-month-olds recover attention on the basis of correlations among stimulus features, but 4- and 7-month-olds recover attention on the basis of stimulus features. We captured these effects by varying the score threshold parameter in cascade…
Descriptors: Infants, Learning, Age Differences, Attention
Gureckis, Todd M.; Love, Bradley C. – Infancy, 2004
Computational models of infant categorization often fail to elaborate the transitional mechanisms that allow infants to achieve adult performance. In this article, we apply a successful connectionist model of adult category learning to developmental data. The Supervised and Unsupervised Stratified Adaptive Incremental Network (SUSTAIN) model is…
Descriptors: Infants, Classification, Adult Learning, Computation