Evidence map›Paper›PMID 36790170›Full record

ArticleeLife2023

Mice and primates use distinct strategies for visual segmentation.

Francisco J Luongo, Lu Liu, Chun Lum Andy Ho, Janis K Hesse, Joseph B Wekselblatt, Frank F Lanfranchi, Daniel Huber, Doris Y Tsao

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026
    Review
  2. Binocular Circuitry as a Model for Understanding Experience-Dependent Circuit Development across the Mammalian Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
  3. Article
  4. Mouse lemurs.Nature methods · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. An open access resource for marmoset neuroscientific apparatus.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  9. Brain-like border ownership signals support prediction of natural videos.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Functional modules for visual scene segmentation in macaque visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Review
  16. Topological insights into the neural basis of flexible behavior.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Article
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

8 authors.

Francisco J Luongo *Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.
Lu Liu *Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.ORCID 0009-0004-9272-5996
Chun Lum Andy HoDepartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
Janis K HesseDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.
Joseph B WekselblattDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.
Frank F LanfranchiDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.
Daniel HuberDepartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
Doris Y TsaoUniversity of California, Berkeley, Berkeley, United States.ORCID 0000-0003-1083-1919

Funding

Understanding the circuit for topological object trackingDP1NS083063 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI TSAO, DORIS YING · 2012 to 2016
$4.1M
Howard Hughes Medical InstituteNIH HHS DP1-NS083063NINDS NIH HHS DP1 NS083063Swiss National Science Foundation 310030E_190060
6 · The paper itself

Abstract

The rodent visual system has attracted great interest in recent years due to its experimental tractability, but the fundamental mechanisms used by the mouse to represent the visual world remain unclear. In the primate, researchers have argued from both behavioral and neural evidence that a key step in visual representation is 'figure-ground segmentation', the delineation of figures as distinct from backgrounds. To determine if mice also show behavioral and neural signatures of figure-ground segmentation, we trained mice on a figure-ground segmentation task where figures were defined by gratings and naturalistic textures moving counterphase to the background. Unlike primates, mice were severely limited in their ability to segment figure from ground using the opponent motion cue, with segmentation behavior strongly dependent on the specific carrier pattern. Remarkably, when mice were forced to localize naturalistic patterns defined by opponent motion, they adopted a strategy of brute force memorization of texture patterns. In contrast, primates, including humans, macaques, and mouse lemurs, could readily segment figures independent of carrier pattern using the opponent motion cue. Consistent with mouse behavior, neural responses to the same stimuli recorded in mouse visual areas V1, RL, and LM also did not support texture-invariant segmentation of figures using opponent motion. Modeling revealed that the texture dependence of both the mouse's behavior and neural responses could be explained by a feedforward neural network lacking explicit segmentation capabilities. These findings reveal a fundamental limitation in the ability of mice to segment visual objects compared to primates.

Indexed as

Visual CortexAnimalsHumansMacacaPattern Recognition, VisualPhotic StimulationPrimatesevolutionary biologymacaquemousemouse lemurmouse visionneuroscienceobject localizationrhesus macaquesegmentationtreeshrew

Identifiers

PMID36790170
PMCPMC9981152

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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.