Evidence map›Paper›PMID 41861104›Full record

ReviewAnnual review of neuroscience2026

Ecological Visual Processing in the Mouse.

Cristopher M Niell, Michael Beyeler, Michael J Goard, Spencer LaVere Smith

Abstract readReview
In one paragraph

Review in Annual review of 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

4 authors.

Cristopher M NiellInstitute of Neuroscience and Department of Biology, University of Oregon, Eugene, Oregon, USA; email: cniell@uoregon.edu.
Michael BeyelerDepartments of Computer Science and Psychological & Brain Sciences, University of California, Santa Barbara, California, USA; email: mbeyeler@ucsb.edu.
Michael J GoardDepartments of Psychological & Brain Sciences and Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, California, USA; email: michaelgoard@ucsb.edu.
Spencer LaVere SmithDepartment of Electrical & Computer Engineering, University of California, Santa Barbara, California, USA; email: sls@ucsb.edu.

Funding

Cortical visual processing for navigationR01NS121919 · NINDS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GOARD, MICHAEL, NIELL, CRISTOPHER M · 2024 to 2025
$1.9M
Visual representations across cortical areasR01EY035378 · NEI · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SPENCER LAVERE SMITH · 2023 to 2026
$1.6M
NEI NIH HHS R01 EY035378NINDS NIH HHS R01 NS121919
6 · The paper itself

Abstract

Visual systems evolved to extract behaviorally relevant information while animals move through and interact with their world. Such ecological vision differs fundamentally from standard laboratory paradigms in many key aspects, making this a much harder problem for the brain to solve, and for the neuroscientist to study. However, emerging technologies and experimental approaches have enabled investigation of visual computations under these ecological conditions. These approaches are particularly powerful in the mouse, combining well-developed genetic tools, high-throughput recordings, and quantifiable ethological tasks. Here we review computations that are engaged in ecological contexts, including active sensing, motion processing, scene analysis, distance estimation, and spatial perception. We delineate experimental approaches that engage these computations and synthesize current understanding of their neural implementations based on mouse research. These studies reveal how ecological vision engages distinct processing strategies and novel neural circuitry, while highlighting the vast territory that remains unexplored in understanding real-world visual computation.

Indexed as

Space PerceptionVisual CortexVisual PathwaysVisual PerceptionAnimalsMiceMotion Perceptionactive sensingmotion processingnavigationscene analysissuperior colliculusvisual cortex

Identifiers

PMID41861104
PMCPMC13198434

What OpenQuestion holds

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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.