Evidence map›Paper›PMID 34750229›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Rapid Extraction of the Spatial Distribution of Physical Saliency and Semantic Informativeness from Natural Scenes in the Human Brain.

John E Kiat, Taylor R Hayes, John M Henderson, Steven J Luck

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. The temporal dynamics of semantic guidance in scenes.Attention, perception & psychophysics · 2026
    Article
  2. Article
  3. A population vector model of visual working memory for real-world scenes.Journal of experimental psychology. General · 2026
    Article
  4. Article
  5. A Population Vector Model of Visual Working Memory for Real-World Scenes.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
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  10. Article
  11. Saliency Response in Superior Colliculus at the Future Saccade Goal Predicts Fixation Duration during Free Viewing of Dynamic Scenes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Cortically Disparate Visual Features Evoke Content-Independent Load Signals during Storage in Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
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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.

John E KiatCenter for Mind & Brain and Department of Psychology, University of California-Davis, Davis, California 95618 jekiat@ucdavis.edu.ORCID 0000-0002-4256-9524
Taylor R HayesCenter for Mind & Brain and Department of Psychology, University of California-Davis, Davis, California 95618.
John M HendersonCenter for Mind & Brain and Department of Psychology, University of California-Davis, Davis, California 95618.
Steven J LuckCenter for Mind & Brain and Department of Psychology, University of California-Davis, Davis, California 95618.ORCID 0000-0002-3725-1474

Funding

Cognitive Neuroscience of Attention in SchizophreniaR01MH065034 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI James M. Gold, STEVEN J LUCK · 2001 to 2026
$13.9M
Visual Working Memory: Representation and ProcessR01MH076226 · NIMH · UNIVERSITY OF IOWA · PI LUCK, STEVEN J · 2006 to 2020
$4.5M
Guiding Attention in Real-World ScenesR01EY027792 · NEI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI John M Henderson · 2017 to 2026
$2.5M
NEI NIH HHS R01 EY027792NIMH NIH HHS R01 MH065034NIMH NIH HHS R01 MH076226
6 · The paper itself

Abstract

Physically salient objects are thought to attract attention in natural scenes. However, research has shown that meaning maps, which capture the spatial distribution of semantically informative scene features, trump physical saliency in predicting the pattern of eye moments in natural scene viewing. Meaning maps even predict the fastest eye movements, suggesting that the brain extracts the spatial distribution of potentially meaningful scene regions very rapidly. To test this hypothesis, we applied representational similarity analysis to ERP data. The ERPs were obtained from human participants (

Indexed as

Models, NeurologicalAdolescentAdultAttentionBrainBrain MappingEvoked PotentialsFemaleHumansMalePhotic StimulationSemanticsVisual PerceptionYoung AdultattentionEEGERPmeaning maprepresentational similarity analysissaliency

Identifiers

PMID34750229
PMCPMC8741164

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.