Evidence map›Paper›PMID 42060402›Full record

ArticleJournal of experimental psychology. General2026

A population vector model of visual working memory for real-world scenes.

John E Kiat, Steven J Luck

Abstract read
In one paragraph

Article in Journal of experimental psychology. General, 2026. 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. A population vector model of visual working memory for real-world scenes.Journal of experimental psychology. General · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

John E KiatUniversity of California-Davis, Center for Mind and Brain.ORCID 0000-0002-4256-9524
Steven J LuckUniversity of California-Davis, Center for Mind and Brain.

Funding

Using Population Vectors to Understand Visual Working Memory for Natural StimuliR01EY033329 · NEI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LUCK, STEVEN J · 2022 to 2025
$1.8M
NEI NIH HHS R01 EY033329NIH HHS
6 · The paper itself

Abstract

Visual working memory is essential for navigating through and interacting with complex real-world environments. It is therefore important to understand how natural visual inputs-characterized by complex contours, continuously varying feature gradients, and spatial relationships-are represented in working memory. However, most research in this field has focused on simplified arrays of discrete artificial objects, favoring experimental control and modeling simplicity over ecological validity. This has led to quantitative models of working memory that require inputs consisting of easily parsed objects defined by a single value along one or more simple feature dimensions. It is not clear how these models could be updated to represent complex, photograph-like scenes. To overcome this limitation, we introduce

Indexed as

BrainMemory, Short-TermModels, NeurologicalVisual PerceptionAdolescentAdultFemaleHumansMalePhotic StimulationTask Performance and AnalysisYoung Adult

Identifiers

PMID42060402
PMCPMC13137055

What OpenQuestion holds

Textmetadata
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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.