Evidence map›Paper›PMID 41278806›Full record

ArticlebioRxiv : the preprint server for biology2025

Working Memory Guides Perceptual Decisions Through Fast Capture and Slow Drift.

Hyung-Bum Park, Weiwei Zhang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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 ParkDepartment of Neuroscience, Washington University in St. Louis.ORCID 0000-0001-6560-2406
Weiwei ZhangDepartment of Psychology, University of California, Riverside.ORCID 0000-0002-0431-5355

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

The top-down influence of working memory (WM) can manifest as both attentional capture and small systematic biases in perceptual judgement (i.e., "tinted lens" effect). Yet it remains unclear whether these influences arise from a single mechanism or reflect functionally distinct processes operating over different timescales. Across two experiments, we embedded a perceptual estimation task during the delay interval of a WM task and tracked continuous mouse trajectories during both perceptual matching and subsequent WM tests. Hierarchical Bayesian mixture modeling revealed robust bidirectional attraction between memory and perception. Time-resolved analyses of mouse trajectories further revealed two distinct components: an early, endpoint-inconsistent deviation that varied with movement onset latency, whereas a slower, endpoint-consistent drift that closely tracked biases in the final report. This pattern is consistent with a fast, capture-like influence of the WM template, and a sustained bias in the evolving decision, respectively. Notably, the prospective influence of WM on perception expressed both early deviation and sustained drift, whereas the retrospective influence of perception on WM primarily involved the sustained component. These findings indicate that WM shapes perceptual decisions through at least two temporally distinct contributions, and illustrate how continuous trajectories can reveal the dynamic structure of top-down influences within single trials.

Indexed as

attentional capturecognitive penetrabilitymouse trackingperceptual appearanceworking memory

Identifiers

PMID41278806
PMCPMC12632742

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.