Evidence map›Paper›PMID 35354030›Full record

ArticleCell reports2022

Coarse-to-fine processing drives the efficient coding of natural scenes in mouse visual cortex.

Rolf Skyberg, Seiji Tanabe, Hui Chen, Jianhua Cang

Abstract read
In one paragraph

Article in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026
    Review
  3. Article
  4. Synergistic Geniculate and Cortical Dynamics Facilitate a Decorrelated Spatial Frequency Code in the Early Visual System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Natural visual behavior and active sensing in the mouse.Current opinion in neurobiology · 2024
    Review
  11. Article
  12. 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

4 authors.

Rolf SkybergDepartment of Biology and Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA.
Seiji TanabeDepartment of Biology and Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA.
Hui ChenDepartment of Biology and Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA.
Jianhua CangDepartment of Biology and Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA. Electronic address: cang@virginia.edu.

Funding

Neural Mechanisms of Stereoscopic VisionR01EY020950 · NEI · UNIVERSITY OF VIRGINIA · PI Jianhua Cang · 2010 to 2026
$5.9M
Visual Signal Transformation in the Retinocollicular PathwayR01EY026286 · NEI · UNIVERSITY OF VIRGINIA · PI Jianhua Cang · 2016 to 2026
$4.4M
Development of Coarse-to-Fine Spatial Processing throughout the Primary Visual SystemF32EY032360 · NEI · UNIVERSITY OF VIRGINIA · PI Rolf J Skyberg · 2021 to 2026
$232k
NEI NIH HHS F32 EY032360NEI NIH HHS R01 EY020950NEI NIH HHS R01 EY026286
6 · The paper itself

Abstract

The visual system processes sensory inputs sequentially, perceiving coarse information before fine details. Here we study the neural basis of coarse-to-fine processing and its computational benefits in natural vision. We find that primary visual cortical neurons in awake mice respond to natural scenes in a coarse-to-fine manner, primarily driven by individual neurons rapidly shifting their spatial frequency preference from low to high over a brief response period. This shift transforms the population response in a way that counteracts the statistical regularities of natural scenes, thereby reducing redundancy and generating a more efficient neural representation. The increase in representational efficiency does not occur in either dark-reared or anesthetized mice, which show significantly attenuated coarse-to-fine spatial processing. Collectively, these results illustrate that coarse-to-fine processing is state dependent, develops postnatally via visual experience, and provides a computational advantage by generating more efficient representations of the complex spatial statistics of ethologically relevant natural scenes.

Indexed as

Spatial ProcessingVisual CortexAnimalsMiceNeuronsVision, OcularCP: Neuroscienceexperience-dependent developmentnatural scene statisticspopulation codingsingle-unit recordingspatial frequency tuningtemporal dynamicsvisual neuroscience

Identifiers

PMID35354030
PMCPMC9189856

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.