Evidence map›Paper›PMID 38849647›Full record

ReviewNature human behaviour2024

Representation and computation in visual working memory.

Paul M Bays, Sebastian Schneegans, Wei Ji Ma, Timothy F Brady

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Identifiability of Bayesian models of perception.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. The Impact of Dimension Switching on Visual Short-Term Memory.Quarterly journal of experimental psychology (2006) · 2026
    Article
  5. Article
  6. Article
  7. Visual field map size constrains working memory precision.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. A population vector model of visual working memory for real-world scenes.Journal of experimental psychology. General · 2026
    Article
  10. Article
  11. Motor working memory.Trends in cognitive sciences · 2026
    Review
  12. Article
  13. A Population Vector Model of Visual Working Memory for Real-World Scenes.bioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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.

Paul M BaysDepartment of Psychology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4684-4893
Sebastian SchneegansDepartment of Psychology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-1246-2259
Wei Ji MaCenter for Neural Science and Department of Psychology, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0002-9835-9083
Timothy F BradyDepartment of Psychology, University of California, San Diego, La Jolla, CA, USA. tfbrady@ucsd.edu.ORCID http://orcid.org/0000-0001-5924-5211

Funding

National Science Foundation (NSF) BCS-2141189National Science Foundation (NSF) BCS-2146988
6 · The paper itself

Abstract

The ability to sustain internal representations of the sensory environment beyond immediate perception is a fundamental requirement of cognitive processing. In recent years, debates regarding the capacity and fidelity of the working memory (WM) system have advanced our understanding of the nature of these representations. In particular, there is growing recognition that WM representations are not merely imperfect copies of a perceived object or event. New experimental tools have revealed that observers possess richer information about the uncertainty in their memories and take advantage of environmental regularities to use limited memory resources optimally. Meanwhile, computational models of visuospatial WM formulated at different levels of implementation have converged on common principles relating capacity to variability and uncertainty. Here we review recent research on human WM from a computational perspective, including the neural mechanisms that support it.

Indexed as

Memory, Short-TermVisual PerceptionHumansModels, Neurological

Identifiers

What OpenQuestion holds

Textmetadata
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.