Evidence map›Paper›PMID 35410358›Full record

ReviewNature reviews. Neuroscience2022

Priority coding in the visual system.

Nicole C Rust, Marlene R Cohen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Working Memory of Multi-Object Scenes in Primate Frontal Cortex.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
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  9. The cortical critical power law balances energy and information in an optimal fashion.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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  18. Review
  19. Article
  20. Simple synaptic modulations implement diverse novelty computations.bioRxiv : the preprint server for biology · 2024
    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.

Nicole C RustDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA. nrust@psych.upenn.edu.ORCID http://orcid.org/0000-0002-7820-6696
Marlene R CohenDepartment of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Using Neuronal Populations to Probe Perceptual DecisionsR01EY022930 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COHEN, MARLENE ROCHELLE · 2013 to 2022
$3.8M
The neural mechanisms responsible for recognizing and remembering novel objects and scenesR01EY020851 · NEI · UNIVERSITY OF PENNSYLVANIA · PI RUST, NICOLE C · 2010 to 2018
$3.4M
Topological bridges between circuits, models, and behaviorRF1NS121913 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COHEN, MARLENE ROCHELLE, MORRISON, JOHN H · 2021 to 2022
$3.2M
Leveraging visual fidelity to understand the neural mechanisms responsible for remembering images and objectsR01EY032878 · NEI · UNIVERSITY OF PENNSYLVANIA · PI RUST, NICOLE C · 2021 to 2023
$1.3M
NEI NIH HHS R01 EY020851NEI NIH HHS R01 EY022930NEI NIH HHS R01 EY032878NINDS NIH HHS RF1 NS121913
6 · The paper itself

Abstract

Although we are continuously bombarded with visual input, only a fraction of incoming visual events is perceived, remembered or acted on. The neural underpinnings of various forms of visual priority coding, including perceptual expertise, goal-directed attention, visual salience, image memorability and preferential looking, have been studied. Here, we synthesize information from these different examples to review recent developments in our understanding of visual priority coding and its neural correlates, with a focus on the role of behaviour to evaluate candidate correlates. We propose that the brain combines different types of priority into a unified priority signal while also retaining the ability to differentiate between them, and that this happens by leveraging partially overlapping low-dimensional neural subspaces for each type of priority that are shared with the downstream neural populations involved in decision-making. Finally, we describe the gulfs in understanding that have resulted from different research approaches, and we point towards future directions that will lead to fundamental insights about neural coding and how prioritization influences visually guided behaviours.

Indexed as

AttentionBrain MappingBrainHumansMental RecallVisual Perception

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.