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Kwon, Mee-Kyoung; Setoodehnia, Mielle; Baek, Jongsoo; Luck, Steven J.; Oakes, Lisa M. – Developmental Psychology, 2016
Four experiments examined how faces compete with physically salient stimuli for the control of attention in 4-, 6-, and 8-month-old infants (N = 117 total). Three computational models were used to quantify physical salience. We presented infants with visual search arrays containing a face and familiar object(s), such as shoes and flowers. Six- and…
Descriptors: Infants, Attention, Eye Movements, Visual Stimuli

Caulfield, Rick – Early Childhood Education Journal, 2000
Examines current research on brain development, focusing on infants' ability to understand basic numerical concepts and arithmetic operations. Asserts that as the brain undergoes dramatic transformations, it already has a built-in capacity to understand basic numerical concepts. Recommends that parents and professionals engage in activities…
Descriptors: Brain, Cognitive Development, Computation, Concept Formation
Kobayashi, Tessei; Hiraki, Kazuo; Hasegawa, Toshikazu – Developmental Science, 2005
Recent studies have reported that preverbal infants are able to discriminate between numerosities of sets presented within a particular modality. There is still debate, however, over whether they are able to perform intermodal numerosity matching, i.e. to relate numerosities of sets presented with different sensory modalities. The present study…
Descriptors: Infants, Expectation, Visual Perception, Auditory Perception
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