Evidence map›Paper›PMID 42129523›Full record

ArticleNature neuroscience2026

Fluctuating internal states mediate neural-behavioral covariations in V1.

Baowang Li, Jason M Samonds, Yuzhi Chen, Thibaud Taillefumier, Nicholas J Priebe, Eyal Seidemann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature neuroscience, 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

6 authors.

Baowang Li *Center for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA.
Jason M Samonds *Center for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-5857-0597
Yuzhi ChenCenter for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA.
Thibaud TaillefumierCenter for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA.
Nicholas J PriebeCenter for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA. nicholas@mail.utexas.edu.ORCID http://orcid.org/0000-0002-0171-0691
Eyal SeidemannCenter for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA. eyal@austin.utexas.edu.ORCID http://orcid.org/0000-0002-4873-3882

Funding

Linking Neural Population Activity and Visual PerceptionR01EY016454 · NEI · UNIVERSITY OF TEXAS AUSTIN · PI SEIDEMANN, EYAL J · 2005 to 2024
$6.6M
Cortical mechanisms mediating visual function and behaviorR01EY024071 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI PRIEBE, NICHOLAS J, SEIDEMANN, EYAL J · 2014 to 2025
$4.1M
Visual Search and Detection in Natural ScenesR01EY024662 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI GEISLER, WILSON S · 2015 to 2022
$2.9M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) RO1 EY016454Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) RO1 EY024662NEI NIH HHS R01 EY016454NEI NIH HHS R01 EY024071NEI NIH HHS R01 EY024662
6 · The paper itself

Abstract

Our perception of the world depends on a complex interplay between external sensory inputs and our internal states. How and where in the brain these interactions are implemented remain poorly understood. To address these questions, we measured membrane potential (V

Indexed as

NeuronsVisual CortexVisual PerceptionAnimalsMacaca mulattaMaleMembrane PotentialsModels, NeurologicalPhotic StimulationReaction Time

Identifiers

PMID42129523
PMCPMC13288332

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.