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A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
Published on: July 16, 2015
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Carry-over effect of learned distractor suppression on visual working memory.
1School of Arts and Sciences, Ahmedabad University, Navrangpura, India.
Frontiers in Neuroscience
|April 6, 2026
Summary
Visual statistical learning suppresses distractor locations, but this learned suppression can impair working memory (WM) object representation under high cognitive load. This suggests shared resources between attention and WM.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Perception
Background:
- Visual statistical learning guides attention by suppressing frequent distractor locations.
- Attention and working memory (WM) are thought to share cognitive resources.
- The interaction between learned distractor suppression and WM is not well understood.
Purpose of the Study:
- To investigate if learned spatial suppression of distractors impacts WM representation.
- To examine the role of working memory load in this interaction.
- To explore the underlying mechanisms of attentional suppression and WM.
Main Methods:
- Participants underwent a visual search task to induce statistical learning of distractor locations.
- A delayed discrimination task assessed WM for targets at learned high- and low-probability distractor sites.
- Two experiments manipulated working memory load (one vs. two targets).
Main Results:
- Learned distractor suppression impaired WM performance at high, but not low, cognitive load.
- Under high load, targets at high-probability distractor locations showed reduced sensitivity and increased false alarms.
- This suggests a carry-over effect of attentional suppression on WM representation.
Conclusions:
- The impact of learned attentional suppression on working memory is contingent on working memory load.
- Statistical learning likely down-regulates sensory gain at suppressed locations.
- Findings support a shared resource model for attention and working memory, where attentional biases influence WM.
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