ReviewPsychonomic bulletin & review2025
Signal suppression 2.0: An updated account of attentional capture and suppression.
Review in Psychonomic bulletin & review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Distinct underlying mechanisms contribute to learning-dependent distractor rejection.Psychonomic bulletin & review · 2026Article
- Distractor avoidance is achieved by active control rather than passive exclusion.Attention, perception & psychophysics · 2026Article
- Parallel or clump-wise serial? A reinterpretation of feature-search mode.Attention, perception & psychophysics · 2026Article
- Within-trial and across-trial distractor rejection mechanisms.Attention, perception & psychophysics · 2026Article
- Temporal dynamics of adapting to novel contexts during the generalization of learned spatial suppression.Journal of vision · 2026Article
- Signal suppression makes search less effortful.Cognitive, affective & behavioral neuroscience · 2026Article
- Rapid Inversion of Singleton Distractor Representations Underlies Learned Attentional Suppression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Learning alters salience and proactive attentional priority.Communications psychology · 2026Article
- Avoidance of capture by motion onset.Attention, perception & psychophysics · 2026Article
- The dual impact of irrelevant visual onsets: Habituation of capture unlocks onset facilitation.Attention, perception & psychophysics · 2025Article
- The Attention Habit II: How selection history shapes the strategic control of attention.Psychonomic bulletin & review · 2025Review
- Instructional design complexity and pop-up notification interference: effects on attention allocation and information retention in virtual classrooms.Frontiers in psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The signal suppression account of attentional capture was proposed in 2010 to resolve a longstanding debate between bottom-up and top-down theories of capture by proposing that a top-down suppressive mechanism can eliminate bottom-up capture of attention. Since its original proposal, the signal suppression account has garnered much support and has also been challenged in important ways. The current article reviews how the signal suppression account has survived several challenges but has also been updated to account for new findings. The primary updates are that (a) suppression operates on specific feature values and locations rather than squashing a generalized "attend-to-me" signal produced by salient distractors, and (b) suppression reflects implicit learning that is triggered when attention is captured. This revised hypothesis predicts that initial instances of attentional capture are needed to drive the implicit learning processes that lead to distractor suppression. Because high-salience distractors are more likely to capture attention than low-salience distractors prior to this implicit learning process, the revised hypothesis predicts that it will be easier to learn to suppress high-salience distractors than low-salience distractors. It also predicts that explicit attempts to override capture may (ironically) lead to increased rather than decreased distraction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.