Right Hemisphere Dominance in Visual Statistical Learning
| Autor: | Richard N. Aslin, Matthew E. Roser, József Fiser, Michael S. Gazzaniga |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
genetic structures
Concept Formation Matched-Pair Analysis Cognitive Neuroscience Visual Physiology Article Lateralization of brain function Discrimination Learning Young Adult Form perception Reference Values Feature (machine learning) Humans Attention Discrimination learning Dominance Cerebral Communication business.industry Middle Aged Implicit learning Visual field Form Perception Pattern Recognition Visual Case-Control Studies Space Perception Female Probability Learning Psychology business Visual learning Split-Brain Procedure Cognitive psychology |
| Zdroj: | Journal of Cognitive Neuroscience. 23:1088-1099 |
| ISSN: | 1530-8898 0898-929X |
| Popis: | Several 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|