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Autor/inn/enRoser, Matthew E.; Fiser, Jozsef; Aslin, Richard N.; Gazzaniga, Michael S.
TitelRight Hemisphere Dominance in Visual Statistical Learning
QuelleIn: Journal of Cognitive Neuroscience, 23 (2011) 5, S.1088-1099 (12 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0898-929X
DOI10.1162/jocn.2010.21508
SchlagwörterBrain Hemisphere Functions; Visual Learning; Patients; Visual Discrimination
AbstractSeveral studies report a right hemisphere advantage for visuospatial integration and a left hemisphere advantage for inferring conceptual knowledge from patterns of covariation. The present study examined hemispheric asymmetry in the implicit learning of new visual feature combinations. A split-brain patient and normal control participants viewed multishape scenes presented in either the right or the left visual fields. Unbeknownst to the participants, the scenes were composed from a random combination of fixed pairs of shapes. Subsequent testing found that control participants could discriminate fixed-pair shapes from randomly combined shapes when presented in either visual field. The split-brain patient performed at chance except when both the practice and the test displays were presented in the left visual field (right hemisphere). These results suggest that the statistical learning of new visual features is dominated by visuospatial processing in the right hemisphere and provide a prediction about how fMRI activation patterns might change during unsupervised statistical learning. (As Provided).
AnmerkungenMIT Press. 55 Hayward Street, Cambridge, MA 02142. Tel: 617-253-2889; Fax: 617-253-1709; e-mail: journals-orders@mit.edu; Web site: http://www.mitpressjournals.org/loi/jocn
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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