Evidence map›Paper›PMID 28058269›Full record

ArticleeNeuro

Figure-Ground Organization in Visual Cortex for Natural Scenes.

Jonathan R Williford, Rüdiger von der Heydt

Abstract read
In one paragraph

Article in eNeuro. 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. Article
  2. Article
  3. Article
  4. Article
  5. V1 neurons are tuned to perceptual borders in natural scenes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Brain-like border ownership signals support prediction of natural videos.bioRxiv : the preprint server for biology · 2024
    Article
  8. Grouping cells in primate visual cortex.bioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Article
  11. Searching for object pointers in the visual cortex.Journal of neurophysiology · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

2 authors.

Jonathan R WillifordNetherlands Institute for Neuroscience , 1105 BA Amsterdam, Netherlands.ORCID 0000-0002-9178-2647
Rüdiger von der HeydtJohns Hopkins University , Baltimore, MD, 21218.ORCID 0000-0002-8741-813X

Funding

NEURAL VISUAL CODING: IMAGE TO OBJECT REPRESENTATIONR01EY002966 · NEI · JOHNS HOPKINS UNIVERSITY · PI VON DER HEYDT, JOACHIM RUDIGER · 1985 to 2015
$6.4M
NEI NIH HHS R01 EY002966
6 · The paper itself

Abstract

Figure-ground organization and border-ownership assignment are essential for understanding natural scenes. It has been shown that many neurons in the macaque visual cortex signal border-ownership in displays of simple geometric shapes such as squares, but how well these neurons resolve border-ownership in natural scenes is not known. We studied area V2 neurons in behaving macaques with static images of complex natural scenes. We found that about half of the neurons were border-ownership selective for contours in natural scenes, and this selectivity originated from the image context. The border-ownership signals emerged within 70 ms after stimulus onset, only ∼30 ms after response onset. A substantial fraction of neurons were highly consistent across scenes. Thus, the cortical mechanisms of figure-ground organization are fast and efficient even in images of complex natural scenes. Understanding how the brain performs this task so fast remains a challenge.

Indexed as

Action PotentialsAnimalsMacaca mulattaMaleMicroelectrodesNeuronsNeuropsychological TestsPhotic StimulationVisual CortexVisual Perceptionfigure-groundmacaquenatural scenessingle unitsvisual cortexvisual perception

Identifiers

PMID28058269
PMCPMC5197405

What OpenQuestion holds

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Registered trials

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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.