Evidence map›Paper›PMID 32917899›Full record

ArticleNature communications2020

Automated markerless pose estimation in freely moving macaques with OpenMonkeyStudio.

Praneet C Bala, Benjamin R Eisenreich, Seng Bum Michael Yoo, Benjamin Y Hayden, Hyun Soo Park, Jan Zimmermann

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
13.3field-weighted citation impact, top 1% of its field
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

106 citing papers in PubMed, 237 citations in OpenAlex.

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  11. Understanding the Brain as a Mentalizing Machine with a Symbol Grounding Function.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
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46 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Praneet C BalaDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 55455, USA.
Benjamin R EisenreichDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA.
Seng Bum Michael YooDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA.
Benjamin Y Hayden *Department of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA. benhayden@gmail.com.ORCID http://orcid.org/0000-0002-7678-4281
Hyun Soo Park *Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 55455, USA.
Jan Zimmermann *Department of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA.
University of Minnesota · US

Funding

Viral Innovation CoreP30DA048742 · NIDA · UNIVERSITY OF MINNESOTA · PI Mark John Thomas · 2020 to 2026
$19.0M
NEURONAL BASIS OF PERSISTENCER01DA038615 · NIDA · UNIVERSITY OF ROCHESTER · PI HAYDEN, BENJAMIN Y · 2015 to 2024
$3.4M
NIDA NIH HHS P30 DA048742NIDA NIH HHS R01 DA038615
6 · The paper itself

Abstract

The rhesus macaque is an important model species in several branches of science, including neuroscience, psychology, ethology, and medicine. The utility of the macaque model would be greatly enhanced by the ability to precisely measure behavior in freely moving conditions. Existing approaches do not provide sufficient tracking. Here, we describe OpenMonkeyStudio, a deep learning-based markerless motion capture system for estimating 3D pose in freely moving macaques in large unconstrained environments. Our system makes use of 62 machine vision cameras that encircle an open 2.45 m × 2.45 m × 2.75 m enclosure. The resulting multiview image streams allow for data augmentation via 3D-reconstruction of annotated images to train a robust view-invariant deep neural network. This view invariance represents an important advance over previous markerless 2D tracking approaches, and allows fully automatic pose inference on unconstrained natural motion. We show that OpenMonkeyStudio can be used to accurately recognize actions and track social interactions.

Indexed as

MotionAlgorithmsAnimalsBiomechanical PhenomenaDeep LearningImage Processing, Computer-AssistedImaging, Three-DimensionalMacaca mulattaMaleModels, AnimalMovementNerve NetNeural Networks, Computer

Identifiers

PMID32917899
PMCPMC7486906
OpenAlexW3086831972

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.