Evidence map›Paper›PMID 41530051›Full record

ArticleeNeuro2026

Independent Encoding of Orientation and Mean Luminance by Mouse Visual Cortex.

Ronan T O'Shea, Xue-Xin Wei, Nicholas J Priebe

Abstract read
In one paragraph

Article in eNeuro, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ronan T O'SheaCenter for Perceptual Systems, The University of Texas at Austin, Austin, Texas 78712 ronan_oshea@utexas.edu.ORCID 0000-0002-1702-6763
Xue-Xin WeiCenter for Perceptual Systems, The University of Texas at Austin, Austin, Texas 78712.
Nicholas J PriebeCenter for Perceptual Systems, The University of Texas at Austin, Austin, Texas 78712.ORCID 0000-0002-0171-0691

Funding

CPS Training ProgramT32EY021462 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI Mary M Hayhoe, Alexander C Huk · 2012 to 2026
$2.5M
Cone Integration in the visual cortexR01EY028657 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI PRIEBE, NICHOLAS J · 2018 to 2022
$1.9M
NEI NIH HHS R01 EY028657NEI NIH HHS T32 EY021462
6 · The paper itself

Abstract

Natural environments contain behaviorally relevant information along many stimulus dimensions, each of which sensory systems must encode in order to guide behaviors. For example, the mammalian visual cortex encodes features of visual scenes such as spatial information related to object identity and temporal information about the motion of those objects in space. In order to reliably encode these behaviorally relevant visual features, neural representations should be robust to changes in environmental conditions. Further, information about changes in environmental conditions, such as the luminance changes that occur over the course of a day, is also important for guiding behaviors. In this study, we asked whether mouse primary visual cortex (V1) jointly represents the spatial properties of visual stimuli along with changes in the mean luminance of the visual scene. We find that while V1 neurons, in mice of either sex, encode spatial aspects of visual information in an invariant manner across luminance conditions, the V1 population response also contains a robust representation of luminance. Importantly, V1 populations encode changes in stimulus orientation and mean luminance along orthogonal axes in the neural response space, such that a change in one stimulus variable is encoded independently from the other.

Indexed as

NeuronsOrientationPrimary Visual CortexVisual CortexVisual PerceptionAction PotentialsAnimalsFemaleMaleMiceMice, Inbred C57BLPhotic Stimulationluminanceneocortexpopulation code

Identifiers

PMID41530051
PMCPMC12893793

What OpenQuestion holds

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LicenceCC BY
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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.