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Mash, Clay; Arterberry, Martha E.; Bornstein, Marc H. – Infancy, 2007
This work examined predictions of the interpolation of familiar views (IFV) account of object recognition performance in 5-month-olds. Infants were familiarized to an object either from a single viewpoint or from multiple viewpoints varying in rotation around a single axis. Object recognition was then tested in both conditions with the same object…
Descriptors: Infants, Recognition (Psychology), Prediction, Models
Zamuner, Tania S. – Infancy, 2006
Previous research has shown that infants begin to display sensitivities to language-specific phonotactics and probabilistic phonotactics at around 9 months of age. However, certain phonotactic patterns have not yet been examined, such as contrast neutralization, in which phonemic contrasts are neutralized typically in syllable- or word-final…
Descriptors: Syllables, Phonemes, Infants, Language Patterns
Campanella, Jennifer; Rovee-Collier, Carolyn – Infancy, 2005
Young infants spend most of their waking time looking around, but whether they learn anything about what they see is unknown. We used a sensory preconditioning paradigm and a deferred imitation task to assess if 3-month-olds formed a latent association between 2 objects (S[subscript 1], S[subscript 2]) that they merely saw together. Because…
Descriptors: Imitation, Infants, Cognitive Development, Learning Processes
Younger, Barbara A.; Hollich, George; Furrer, Stephanie D. – Infancy, 2004
From Aesop to Sun Tzu, the importance of working together has long been acknowledged. Yet as long as cooperation has existed, so have the difficulties associated with it. Pooling two fields might mean twice the power, but this union also brings twice the jargon, twice the competing theories, and twice the head butting. Nonetheless, in this…
Descriptors: Infants, Correlation, Classification, Age Differences
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