Evidence map›Paper›PMID 42199927›Full record

ArticleiScience2026

Active sensing during a visual perceptual decision-making task.

Naureen Ghani, Angela Yaxuan Yang, International Brain Laboratory

Abstract read
In one paragraph

Article in iScience, 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.

Naureen GhaniSainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London W1T 4JG, UK.
Angela Yaxuan YangSainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London W1T 4JG, UK.
International Brain Laboratory

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From the Welsh tidy mouse to the New York City pizza rat, movement reveals rodent intelligence. Rodents use self-generated movements to modulate sensory input in touch and audition, but whether this extends to vision is less established. Here, we show that some head-fixed mice developed an active sensing strategy in a visual perceptual decision-making task. Akin to humans shaking a computer mouse to find the cursor on a screen, some mice wiggled a wheel that controlled the movement of a visual stimulus during low-contrast trials. When mice wiggled the wheel, the low-contrast accuracy increased. Moreover, these wiggles moved the visual stimulus at a temporal frequency (11.5 ± 2.5 Hz) that maximizes contrast sensitivity in rodents. Perturbing the task contingency and visuo-motor coupling reduced wiggle behavior. The performance benefit of wiggle behavior persisted after controlling for arousal state. Together, these results provide evidence for active sensing in head-fixed mouse vision.

Indexed as

behavioral neuroscience

Identifiers

PMID42199927
PMCPMC13200138

What OpenQuestion holds

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LicenceCC BY
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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.