Evidence map›Paper›PMID 34499927›Full record

ReviewNeuroscience and biobehavioral reviews2021

The past, present, and future of selection history.

Brian A Anderson, Haena Kim, Andy J Kim, Ming-Ray Liao, Lana Mrkonja, Andrew Clement, Laurent Grégoire

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

92 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Prediction and Prioritisation: How Reward Learning Shapes Attentional Capture.Quarterly journal of experimental psychology (2006) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Visual memory.Attention, perception & psychophysics · 2026
    Review
  15. Article
  16. Article
  17. Contributions of Distinct Attention Mechanisms to Saccadic Choices in a Gamified, Dynamic Environment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  18. Statistical learning and the efficiency of visual search.Attention, perception & psychophysics · 2026
    Article
  19. Review
  20. Article

32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brian A AndersonTexas A&M University, College Station, TX, 77843, United States. Electronic address: brian.anderson@tamu.edu.
Haena KimTexas A&M University, College Station, TX, 77843, United States.
Andy J KimTexas A&M University, College Station, TX, 77843, United States.
Ming-Ray LiaoTexas A&M University, College Station, TX, 77843, United States.
Lana MrkonjaTexas A&M University, College Station, TX, 77843, United States.
Andrew ClementTexas A&M University, College Station, TX, 77843, United States.
Laurent GrégoireTexas A&M University, College Station, TX, 77843, United States.

Funding

The Control of Attention and Learning from Physical EffortR01DA046410 · NIDA · TEXAS A&M UNIVERSITY · PI ANDERSON, BRIAN AUGUST · 2019 to 2023
$1.9M
NIDA NIH HHS R01 DA046410
6 · The paper itself

Abstract

The last ten years of attention research have witnessed a revolution, replacing a theoretical dichotomy (top-down vs. bottom-up control) with a trichotomy (biased by current goals, physical salience, and selection history). This third new mechanism of attentional control, selection history, is multifaceted. Some aspects of selection history must be learned over time whereas others reflect much more transient influences. A variety of different learning experiences can shape the attention system, including reward, aversive outcomes, past experience searching for a target, target‒non-target relations, and more. In this review, we provide an overview of the historical forces that led to the proposal of selection history as a distinct mechanism of attentional control. We then propose a formal definition of selection history, with concrete criteria, and identify different components of experience-driven attention that fit within this definition. The bulk of the review is devoted to exploring how these different components relate to one another. We conclude by proposing an integrative account of selection history centered on underlying themes that emerge from our review.

Indexed as

AttentionRewardAffectHumansLearningReaction TimeAssociative learningAttentional captureHabit learningSelection historySelective attention

Identifiers

PMID34499927
PMCPMC8511179

What OpenQuestion holds

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Registered trials

None linked

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.