EEG Correlates of Active Removal from Working Memory

The removal of no-longer-relevant information from visual working memory (WM) is important for the functioning of WM, given its severe capacity limitation. Previously, with an "ABC-retrocuing" WM task, we have shown that removing information can be accomplished in different ways: by simply withdrawing attention from the newly irrelevant memory item (IMI; i.e., via "passive removal") or by "actively" removing the IMI from WM (Shan and Postle, 2022). Here, to investigate the neural mechanisms behind active removal, we recorded electroencephalogram (EEG) signals from human subjects (both sexes) performing the ABC-retrocuing task. Specifically, we tested the hijacked adaptation model, which posits that active removal is accomplished by a top-down-triggered down-modulation of the gain of perceptual circuits, such that sensory channels tuned to the to-be-removed information become less sensitive. Behaviorally, analyses revealed that, relative to passive removal, active removal produced a decline in the familiarity landscape centered on the IMI. Neurally, we focused on two epochs of the task, corresponding to the triggering, and to the consequence, of active removal. With regard to triggering, we observed a stronger anterior-to-posterior traveling wave for active versus passive removal. With regard to the consequence(s) of removal, the response to a task-irrelevant "ping" was reduced for active removal, as assessed with ERP, suggesting that active removal led to decreased excitability in perceptual circuits centered on the IMI.

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Publication Details

Journal
Journal of Neuroscience
Published
2025-06-16
DOI
https://doi.org/10.1523/jneurosci.2414-24.2025
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43
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article

EEG Correlates of Active Removal from Working Memory

Jiangang Shan, Bradley R. Postle
1 citations
Journal of Neuroscience
EEG and Brain-Computer Interfaces
1.43
article

EEG Correlates of Active Removal from Working Memory

Jiangang Shan, Bradley R. Postle
article en
1 citations

Abstract

The removal of no-longer-relevant information from visual working memory (WM) is important for the functioning of WM, given its severe capacity limitation. Previously, with an "ABC-retrocuing" WM task, we have shown that removing information can be accomplished in different ways: by simply withdrawing attention from the newly irrelevant memory item (IMI; i.e., via "passive removal") or by "actively" removing the IMI from WM (Shan and Postle, 2022). Here, to investigate the neural mechanisms behind active removal, we recorded electroencephalogram (EEG) signals from human subjects (both sexes) performing the ABC-retrocuing task. Specifically, we tested the hijacked adaptation model, which posits that active removal is accomplished by a top-down-triggered down-modulation of the gain of perceptual circuits, such that sensory channels tuned to the to-be-removed information become less sensitive. Behaviorally, analyses revealed that, relative to passive removal, active removal produced a decline in the familiarity landscape centered on the IMI. Neurally, we focused on two epochs of the task, corresponding to the triggering, and to the consequence, of active removal. With regard to triggering, we observed a stronger anterior-to-posterior traveling wave for active versus passive removal. With regard to the consequence(s) of removal, the response to a task-irrelevant "ping" was reduced for active removal, as assessed with ERP, suggesting that active removal led to decreased excitability in perceptual circuits centered on the IMI.

Journal of NeuroscienceVol. 45(28)
University of Wisconsin–Madison (US)
Openalex Percentile: Top 19%
EEG and Brain-Computer Interfaces
1.43
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