Evidence map›Paper›PMID 37839251›Full record

ArticleCognition2024

The dynamics of attentional guidance by working memory contents.

Hyung-Bum Park, Weiwei Zhang

Abstract read
In one paragraph

Article in Cognition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Contributions from Long-Term Memory Explain Superior Visual Working Memory Performance with Meaningful Objects.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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  9. Contributions of global and local processing on medical image perception.Journal of medical imaging (Bellingham, Wash.) · 2023
    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

2 authors.

Hyung-Bum ParkInstitute for Mind and Biology, The University of Chicago, Biopsychological Sciences Building (BPSB), 940 E 57th St., Chicago, IL 60637, USA; Department of Psychology, University of California, 900 University Ave., Riverside, CA 92521, USA. Electronic address: hbpark@uchicago.edu.
Weiwei ZhangDepartment of Psychology, University of California, 900 University Ave., Riverside, CA 92521, USA.

Funding

A Neurocognitive Mechanism for Precision of Visual Working Memory RepresentationsR01MH117132 · NIMH · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZHANG, WEIWEI · 2018 to 2022
$1.4M
NIMH NIH HHS R01 MH117132
6 · The paper itself

Abstract

Working memory (WM) contents can guide attention toward matching sensory information in the environment, but there are mixed findings regarding whether only a single prioritized item or multiple items held in WM can guide attention. The present study examines the limit of WM-guided attention with a novel task procedure and mouse trajectory analysis. Specifically, we introduced a perceptual-matching task utilizing the continuous estimation procedure within the maintenance interval of a WM task for one or two colors. We found that the overall perceptual matching mouse trajectory were robustly biased toward the location of WM-match color on the color-wheel (i.e., attraction bias), but only at memory set size one. However, the analysis of circular mouse trajectory distributions, through hierarchical Bayesian modeling, revealed two separable central peaks at both memory set sizes. Furthermore, model-free analysis demonstrated that the perceptual matching mouse trajectory patterns were similar regardless of memory set sizes. Together, these results support the single-item account and highlight the utility of mouse trajectory analyses in hypothesis testing in experimental psychology.

Indexed as

AttentionMemory, Short-TermAnimalsBayes TheoremMiceAttentional guidanceHierarchical Bayesian modelMouse trajectoryWorking memory

Identifiers

PMID37839251
PMCPMC10843273

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Registered trials

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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.