Enhanced visual statistical learning in adults with autism.

نویسندگان

  • Matthew E Roser
  • Richard N Aslin
  • Rebecca McKenzie
  • Daniel Zahra
  • József Fiser
چکیده

OBJECTIVE Individuals with autism spectrum disorder (ASD) are often characterized as having social engagement and language deficiencies, but a sparing of visuospatial processing and short-term memory (STM), with some evidence of supranormal levels of performance in these domains. The present study expanded on this evidence by investigating the observational learning of visuospatial concepts from patterns of covariation across multiple exemplars. METHOD Child and adult participants with ASD, and age-matched control participants, viewed multishape arrays composed from a random combination of pairs of shapes that were each positioned in a fixed spatial arrangement. RESULTS After this passive exposure phase, a posttest revealed that all participant groups could discriminate pairs of shapes with high covariation from randomly paired shapes with low covariation. Moreover, learning these shape-pairs with high covariation was superior in adults with ASD than in age-matched controls, whereas performance in children with ASD was no different than controls. CONCLUSIONS These results extend previous observations of visuospatial enhancement in ASD into the domain of learning, and suggest that enhanced visual statistical learning may have arisen from a sustained bias to attend to local details in complex arrays of visual features.

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عنوان ژورنال:
  • Neuropsychology

دوره 29 2  شماره 

صفحات  -

تاریخ انتشار 2015