Evidence map›Paper›PMID 31586749›Full record

ReviewCurrent opinion in neurobiology2019

Object shape and surface properties are jointly encoded in mid-level ventral visual cortex.

Anitha Pasupathy, Taekjun Kim, Dina V Popovkina

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2019. 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. High-Density Recording Reveals Sparse Clusters (But Not Columns) for Shape and Texture Encoding in Macaque V4.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Article
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  7. Article
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  9. Article
  10. Compact deep neural network models of visual cortex.bioRxiv : the preprint server for biology · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Texture-like representation of objects in human visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Article
  18. Article
  19. 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

3 authors.

Anitha PasupathyDepartment of Biological Structure, University of Washington, Seattle, WA, United States; Washington National Primate Research Center, University of Washington, Seattle, WA, United States. Electronic address: pasupat@uw.edu.
Taekjun KimDepartment of Biological Structure, University of Washington, Seattle, WA, United States; Washington National Primate Research Center, University of Washington, Seattle, WA, United States.
Dina V PopovkinaDepartment of Psychology, University of Washington, Seattle, WA 98195, United States.

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
The role of area V4 in the perception and recognition of visual objectsR01EY018839 · NEI · UNIVERSITY OF WASHINGTON · PI Anitha Pasupathy · 2009 to 2026
$9.0M
VISUAL SCIENCES TRAINING PROGRAMT32EY007031 · NEI · UNIVERSITY OF WASHINGTON · PI Wyeth Daniel Bair, Anitha Pasupathy · 1985 to 2026
$6.1M
CRCNS: Joint coding of shape and texture in the primate brianR01EY029997 · NEI · UNIVERSITY OF WASHINGTON · PI PASUPATHY, ANITHA · 2018 to 2020
$724k
NEI NIH HHS R01 EY018839NEI NIH HHS R01 EY029997NEI NIH HHS T32 EY007031NIH HHS P51 OD010425
6 · The paper itself

Abstract

Recognizing a myriad visual objects rapidly is a hallmark of the primate visual system. Traditional theories of object recognition have focused on how crucial form features, for example, the orientation of edges, may be extracted in early visual cortex and utilized to recognize objects. An alternative view argues that much of early and mid-level visual processing focuses on encoding surface characteristics, for example, texture. Neurophysiological evidence from primate area V4 supports a third alternative - the joint, but independent, encoding of form and texture - that would be advantageous for segmenting objects from the background in natural scenes and for object recognition that is independent of surface texture. Future studies that leverage deep convolutional network models, especially focusing on network failures to match biology and behavior, can advance our insights into how such a joint representation of form and surface properties might emerge in visual cortex.

Indexed as

Visual CortexAnimalsPhotic StimulationPrimatesSurface PropertiesVisual PathwaysVisual Perception

Identifiers

PMID31586749
PMCPMC6876744

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.