Neural correlates of learned categorical perception of visual stimuli with local features
F. P\'erez-Gay, T. Sicotte, N. Goulet, X. Kang, S. Harnad

TL;DR
This study investigates how learning to categorize visual stimuli with local features induces perceptual changes and neural correlates, demonstrating that category learning can modulate perception and associated brain activity.
Contribution
It provides evidence that categorization training with local features causes perceptual and neural changes, extending previous findings with holistic features.
Findings
40% of participants learned categories successfully
Learners showed increased ERP positivity after training
Behavioral and neural changes were absent in non-learners
Abstract
Learning to categorize requires distinguishing category members from non-members by detecting the features that covary with membership. Whether this process can induce changes in perception is still a matter of debate. In prior studies, we reported Learned Categorical Perception (Learned CP) effects in the form of between-category separation and within-category compression in perceived similarity after training subjects to categorize visual stimuli with distributed, holistic features.These effects were correlated with changes in an early, perceptual component of Event Related Potentials (ERPs). Using the same methodology, in this experiment we trained 96 subjects to sort line drawings of fish with local, verbalizable features into two categories by trial and error with corrective feedback. We tested for Learned CP effects and their neural correlates by measuring subjects' pairwise…
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Taxonomy
TopicsChild and Animal Learning Development · Face Recognition and Perception · Visual perception and processing mechanisms
