Evidence map›Paper›PMID 36417129›Full record

ArticleAttention, perception & psychophysics2023

Learned feature regularities enable suppression of spatially overlapping stimuli.

Daniel D Thayer, Maggie Miller, Barry Giesbrecht, Thomas C Sprague

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Daniel D ThayerDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, 93106-9660, USA. danielthayer@ucsb.edu.ORCID http://orcid.org/0000-0002-0053-4243
Maggie MillerDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, 93106-9660, USA.
Barry GiesbrechtDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, 93106-9660, USA.
Thomas C SpragueDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, 93106-9660, USA. tsprague@ucsb.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contemporary theories of attentional control state that information can be prioritized based on selection history. Even though theories agree that selection history can impact representations of spatial location, which in turn helps guide attention, there remains disagreement on whether nonspatial features (e.g., color) are modulated in a similar way. While previous work has demonstrated color suppression using visual search tasks, it is possible that the location corresponding to the distractor was suppressed, consistent with a spatial mechanism of suppression. Here, we sought to rule out this possibility by testing whether similar suppression of a learned distractor color can occur for spatially overlapping visual stimuli. On a given trial, two spatially superimposed stimuli (line arrays) were tilted either left or right of vertical and presented in one of four distinct colors. Subjects performed a speeded report of the orientation of the "target" array with the most lines. Critically, the distractor array was regularly one color, and this high-probability color was never the color of the target array, which encouraged learned suppression. In two experiments, responses to the target array were fastest when the distractor array was in the high-probability color, suggesting participants suppressed the distractor color. Additionally, when regularities were removed, the high-probability distractor color continued to benefit speeded target identification for individual subjects (E1) but slowed target identification (E2) when presented in the target array. Together, these results indicate that learned suppression of feature-based regularities modulates target detection performance independent of spatial location and persists over time.

Indexed as

AttentionLearningHumansReaction TimeAttentionDistractor suppressionStatistical learning

Identifiers

PMID36417129
PMCPMC10066085

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.