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Poole, Daniel; Gowen, Emma; Warren, Paul A.; Poliakoff, Ellen – Journal of Autism and Developmental Disorders, 2017
Previous studies have indicated that visual-auditory temporal acuity is reduced in children with autism spectrum conditions (ASC) in comparison to neurotypicals. In the present study we investigated temporal acuity for all possible bimodal pairings of visual, tactile and auditory information in adults with ASC (n = 18) and a matched control group…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Perceptual Development
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Kalagher, Hilary; Jones, Susan S. – Journal of Experimental Child Psychology, 2011
Adults vary their haptic exploratory behavior reliably with variation both in the sensory input and in the task goals. Little is known about the development of these connections between perceptual goals and exploratory behaviors. A total of 36 children ages 3, 4, and 5 years and 20 adults completed a haptic intramodal match-to-sample task.…
Descriptors: Toddlers, Child Development, Young Children, Adults
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Crane, Laura; Goddard, Lorna; Pring, Linda – Autism: The International Journal of Research and Practice, 2009
Unusual sensory processing has been widely reported in autism spectrum disorders (ASDs); however, the majority of research in this area has focused on children. The present study assessed sensory processing in adults with ASD using the Adult/Adolescent Sensory Profile (AASP), a 60-item self-report questionnaire assessing levels of sensory…
Descriptors: Autism, Pervasive Developmental Disorders, Sensory Experience, Perceptual Development
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Cohen, Michelle E.; And Others – Journal of Experimental Child Psychology, 1986
Describes two experiments that examined whether the amplitude of the human eyeblink by a mild tap between the eyebrows can be increased if a brief tone is presented simultaneously with the tap and how these effects change from newborn infants to adults. (HOD)
Descriptors: Adults, Age Differences, Auditory Stimuli, Behavior Modification
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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