Evidence map›Paper›PMID 41676610›Full record

ArticlebioRxiv : the preprint server for biology2026

Active gaze behavior organizes V1 activity in freely-moving marmosets.

Jingwen Li, Vikram Pal Singh, Jude F Mitchell, Alexander C Huk, Cory T Miller

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

Jingwen LiCortical Systems & Behavior Lab, Department of Psychology, UCSD, La Jolla, CA 92093.ORCID 0009-0005-3813-1131
Vikram Pal SinghCortical Systems & Behavior Lab, Department of Psychology, UCSD, La Jolla, CA 92093.ORCID 0000-0002-1593-9796
Jude F MitchellBrain and Cognitive Sciences, University of Rochester, Rochester, NY 14627.ORCID 0000-0003-0197-7545
Alexander C HukFuster Laboratory for Cognitive Neuroscience, Departments of Ophthalmology and Psychiatry & Biobehavioral Sciences, UCLA, Los Angeles, CA 90095.ORCID 0000-0003-1430-6935
Cory T MillerCortical Systems & Behavior Lab, Department of Psychology, UCSD, La Jolla, CA 92093.ORCID 0000-0001-8345-2720

Funding

Neural circuit computations for visual motion during natural primate behaviorsUF1NS116377 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI CAUWENBERGHS, GERT, CORMACK, LAWRENCE KEVIN · 2020 to 2020
$3.3M
Spatial exploration and navigation in the primate hippocampusR01NS118457 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILLER, CORY T, ZHANG, KECHEN · 2023 to 2024
$1.2M
NINDS NIH HHS R01 NS118457NINDS NIH HHS UF1 NS116377
6 · The paper itself

Abstract

Human and nonhuman primates rely heavily on vision to actively explore and navigate their environment. Although primate visual cortex has been studied extensively in head-fixed animals, little is known about how the primate visual system supports natural, active vision in freely moving animals. Here, we address this gap in the primary visual cortex (V1) by leveraging a head-mounted eye-tracking system while simultaneously recording the activity of ensembles of single V1 neurons in freely moving marmosets. Our results reveal that primate neural activity is tightly driven by visual input and organized by the temporal structure of natural gaze behavior, and these gaze-related responses are largely abolished in the absence of visual input. We further show that distinct phases of gaze movement, i.e. rapid redirection (gaze shift) and subsequent stabilization (fixation), engage separable suppression and enhancement of the V1 responses. The enhancement during fixation was clearly linked to visual input. These findings define the dynamics in V1 that link natural gaze behavior and stimulus-driven responses in freely moving primates. The work opens a previously inaccessible but fundamental regime of primate vision and establishes freely moving paradigms as a foundation for understanding real-world visual processing during ethologically relevant behaviors.

Identifiers

PMID41676610
PMCPMC12889743

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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.