Evidence map›Paper›PMID 26791203›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

Representation of Maximally Regular Textures in Human Visual Cortex.

Peter J Kohler, Alasdair Clarke, Alexandra Yakovleva, Yanxi Liu, Anthony M Norcia

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  9. Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  10. Article
  11. Article
  12. Article
  13. A Texture Statistics Encoding Model Reveals Hierarchical Feature Selectivity across Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  14. Article
  15. Symmetry Processing in the Macaque Visual Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2022
    Article
  16. Article
  17. Perceptual Texture Dimensions Modulate Neuronal Response Dynamics in Visual Cortical Area V4.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  18. Observational
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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

5 authors.

Peter J KohlerDepartment of Psychology, Stanford University, Stanford, California 94305, pjkohl3r@gmail.com.
Alasdair ClarkeSchool of Psychology, University of Aberdeen, Aberdeen AB24 2UB, United Kingdom, and.
Alexandra YakovlevaDepartment of Psychology, Stanford University, Stanford, California 94305.
Yanxi LiuDepartments of Computer Science and Engineering, and Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802.
Anthony M NorciaDepartment of Psychology, Stanford University, Stanford, California 94305.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naturalistic textures with an intermediate degree of statistical regularity can capture key structural features of natural images (Freeman and Simoncelli, 2011). V2 and later visual areas are sensitive to these features, while primary visual cortex is not (Freeman et al., 2013). Here we expand on this work by investigating a class of textures that have maximal formal regularity, the 17 crystallographic wallpaper groups (Fedorov, 1891). We used texture stimuli from four of the groups that differ in the maximum order of rotation symmetry they contain, and measured neural responses in human participants using functional MRI and high-density EEG. We found that cortical area V3 has a parametric representation of the rotation symmetries in the textures that is not present in either V1 or V2, the first discovery of a stimulus property that differentiates processing in V3 from that of lower-level areas. Parametric responses were also seen in higher-order ventral stream areas V4, VO1, and lateral occipital complex (LOC), but not in dorsal stream areas. The parametric response pattern was replicated in the EEG data, and source localization indicated that responses in V3 and V4 lead responses in LOC, which is consistent with a feedforward mechanism. Finally, we presented our stimuli to four well developed feedforward models and found that none of them were able to account for our results. Our results highlight structural regularity as an important stimulus dimension for distinguishing the early stages of visual processing, and suggest a previously unrecognized role for V3 in the visual form-processing hierarchy. Significance statement: Hierarchical processing is a fundamental organizing principle in visual neuroscience, with each successive processing stage being sensitive to increasingly complex stimulus properties. Here, we probe the encoding hierarchy in human visual cortex using a class of visual textures--wallpaper patterns--that are maximally regular. Through a combination of fMRI and EEG source imaging, we find specific responses to texture regularity that depend parametrically on the maximum order of rotation symmetry in the textures. These parametric responses are seen in several areas of the ventral visual processing stream, as well as in area V3, but not in V1 or V2. This is the first demonstration of a stimulus property that differentiates processing in V3 from that of lower-level visual areas.

Indexed as

AdolescentAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPattern Recognition, VisualPhotic StimulationVisual CortexVisual PathwaysVisual PerceptionYoung Adulthierarchical processingmid-level visionperceptual organizationsymmetrytextureventral stream

Identifiers

PMID26791203
PMCPMC6602006

What OpenQuestion holds

Textmetadata
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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.