Evidence map›Paper›PMID 28044023›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017

How is visual salience computed in the brain? Insights from behaviour, neurobiology and modelling.

Richard Veale, Ziad M Hafed, Masatoshi Yoshida

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Facial Emotion Recognition Ability May Improve in Alzheimer Disease: A Pilot Study.Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology · 2026
    Trial
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  3. Article
  4. Review
  5. Article
  6. Looking for Details: Fine-Grained Visual Search at the Foveal Scale.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Stimulus representations in visual cortex shaped by spatial attention and microsaccades.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Behavioral Modulation and Molecular Definition of Wide-Field Vertical Cells in the Mouse Superior Colliculus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Auditory Competition and Coding of Relative Stimulus Strength across Midbrain Space Maps of Barn Owls.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Topographical Representation of Saliency in the Human Visual and Temporo-occipital Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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

3 authors.

Richard VealeDepartment of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan.
Ziad M HafedPhysiology of Active Vision Laboratory, Werner Reichardt Centre for Integrative Neuroscience, University of Tuebingen, Tuebingen, Germany.
Masatoshi YoshidaDepartment of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan myoshi@nips.ac.jp.ORCID 0000-0002-2566-1820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inherent in visual scene analysis is a bottleneck associated with the need to sequentially sample locations with foveating eye movements. The concept of a 'saliency map' topographically encoding stimulus conspicuity over the visual scene has proven to be an efficient predictor of eye movements. Our work reviews insights into the neurobiological implementation of visual salience computation. We start by summarizing the role that different visual brain areas play in salience computation, whether at the level of feature analysis for bottom-up salience or at the level of goal-directed priority maps for output behaviour. We then delve into how a subcortical structure, the superior colliculus (SC), participates in salience computation. The SC represents a visual saliency map via a centre-surround inhibition mechanism in the superficial layers, which feeds into priority selection mechanisms in the deeper layers, thereby affecting saccadic and microsaccadic eye movements. Lateral interactions in the local SC circuit are particularly important for controlling active populations of neurons. This, in turn, might help explain long-range effects, such as those of peripheral cues on tiny microsaccades. Finally, we show how a combination of in vitro neurophysiology and large-scale computational modelling is able to clarify how salience computation is implemented in the local circuit of the SC.This article is part of the themed issue 'Auditory and visual scene analysis'.

Indexed as

Eye MovementsVisual PerceptionAnimalsCuesHumansSaccadesSuperior Colliculilateral inhibitionmicrosaccadesovert attentionsaliency mapspiking neuron networksuperior colliculus

Identifiers

PMID28044023
PMCPMC5206280

What OpenQuestion holds

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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.