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Statistical Learning of Frequent Distractor Locations in Visual Search Involves Regional Signal Suppression in Early
Bei Zhang1, Ralph Weidner2, Fredrik Allenmark1
1General and Experimental Psychology, Ludwig-Maximilians-Universität München, München 80802, Germany.
Cerebral Cortex (New York, N.Y. : 1991)
|November 2, 2021
Summary
Statistical learning helps suppress frequent distractor locations in the visual cortex. Different distractor types engage distinct neural mechanisms for attention and interference reduction.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Visual Attention
Background:
- Observers learn to suppress distractors at frequently encountered locations.
- Mechanisms of distractor suppression in visual and attention networks are not fully understood.
Purpose of the Study:
- Investigate neural implementation of distractor suppression based on location learning.
- Differentiate neural mechanisms for same- vs. different-dimension distractors.
Main Methods:
- Functional magnetic resonance imaging (fMRI) with a regional distractor-location learning paradigm.
- Used same- (orientation) and different- (color) dimension distractors relative to the target.
Main Results:
- Reduced BOLD signals in early visual cortex for frequent vs. rare distractor locations, stronger for same-dimension distractors.
- Behavioral interference correlated with visual activity for same-dimension distractors only.
- Different-dimension distractors activated fusiform gyrus color-processing areas differently based on location frequency.
Conclusions:
- Statistical learning of frequent distractor locations involves regional suppression in early visual cortex.
- Differential neural mechanisms underlie distractor handling for same- vs. different-dimension distractors.
Keywords:
distractor suppressionearly visual cortexfunctional magnetic resonance imaging (fMRI)statistical learning
