Evidence map›Paper›PMID 25535362›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Image statistics underlying natural texture selectivity of neurons in macaque V4.

Gouki Okazawa, Satohiro Tajima, Hidehiko Komatsu

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Article
  2. Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Natural Scene and Object Perception Based on Statistical Image Features: Psychophysics and EEG.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  8. Article
  9. A TALE OF TWO TAILS: PREFERRED AND ANTI-PREFERRED NATURAL STIMULI IN VISUAL CORTEX.... International Conference on Learning Representations · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Adaptation with Naturalistic Textures in Macaque V1 and V2.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  14. Article
  15. Responses of neurons in macaque V4 to object and texture images.bioRxiv : the preprint server for biology · 2025
    Article
  16. 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
  17. Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Article
  19. Article
  20. Neural Correlates of Crowding in Macaque Area V4.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Gouki OkazawaDivision of Sensory and Cognitive Information, National Institute for Physiological Sciences, Okazaki, Aichi 444-8585, Japan; okazawagouki@gmail.com.
Satohiro TajimaRIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan; Japan Society for the Promotion of Science, Chiyoda, Tokyo 102-0082, Japan; and.
Hidehiko KomatsuDivision of Sensory and Cognitive Information, National Institute for Physiological Sciences, Okazaki, Aichi 444-8585, Japan; Department of Physiological Sciences, The Graduate University for Advanced Studies (Sokendai), Okazaki, Aichi 444-8585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our daily visual experiences are inevitably linked to recognizing the rich variety of textures. However, how the brain encodes and differentiates a plethora of natural textures remains poorly understood. Here, we show that many neurons in macaque V4 selectively encode sparse combinations of higher-order image statistics to represent natural textures. We systematically explored neural selectivity in a high-dimensional texture space by combining texture synthesis and efficient-sampling techniques. This yielded parameterized models for individual texture-selective neurons. The models provided parsimonious but powerful predictors for each neuron's preferred textures using a sparse combination of image statistics. As a whole population, the neuronal tuning was distributed in a way suitable for categorizing textures and quantitatively predicts human ability to discriminate textures. Together, we suggest that the collective representation of visual image statistics in V4 plays a key role in organizing the natural texture perception.

Indexed as

AnimalsFemaleHumansMacacaNeuronsVisual CortexVisual Perceptionimage analysismaterial perceptionsingle-cell recordingtexture perceptionvisual area V4

Identifiers

PMID25535362
PMCPMC4313822

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.