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Updated: May 30, 2026

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
Published on: April 19, 2017
Mere exposure alters category learning of novel objects
Jonathan R Folstein1, Isabel Gauthier, Thomas J Palmeri
1Department of Psychology, Vanderbilt University Nashville, TN, USA.
Statistical learning of object features, even without category information, influences future visual object learning. This demonstrates how statistical learning impacts how we learn to categorize new objects.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Perception
Background:
- Previous research explored category learning with explicit or incidental category information.
- The role of statistical learning in visual object categorization remains less understood.
Purpose of the Study:
- To investigate the impact of mere exposure to object features on subsequent category learning.
- To determine if statistical regularities in object features, independent of category labels, influence learning.
Main Methods:
- Participants were exposed to complex objects with either correlated or uncorrelated features.
- Later, participants learned new object categories not present during the initial exposure phase.
- Performance on the new category learning task was assessed.
Main Results:
- The presence of correlations among object features during initial exposure significantly influenced later category learning.
- This effect occurred even when the exposed objects provided no direct information about the categories to be learned.
Conclusions:
- Statistical learning mechanisms play a crucial role in visual object learning.
- This study provides evidence that statistical learning can shape category learning independently of explicit or incidental category information.
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