ArticleeLife2021
Action detection using a neural network elucidates the genetics of mouse grooming behavior.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed.
- The choice-wide behavioral association study: data-driven identification of interpretable behavioral components.Nature communications · 2026Article
- Sex differences in the risk of autistic-related traits in toddlers born to mothers with perinatal depression: Evidence from human cohort and mouse study.Molecular psychiatry · 2026Article
- Optimizing Intermediate Representations: A Framework for Low-Cost, High-Accuracy Behavior Quantification.bioRxiv : the preprint server for biology · 2026Article
- Recognising dog movement with behaviour-specific machine learning models: bout length as a biologically relevant parameter for window size.BMC veterinary research · 2026Article
- Article
- Unbiased quantification of persistent postural and motor deficits following spinal cord injury in mice.PloS one · 2026Article
- Visual detection of seizures in mice using supervised machine learning.Cell reports methods · 2025Article
- Article
- Temporal organization of song modulates vocal learning.iScience · 2025Article
- Temporal action localisation in video data containing rabbit behavioural patterns.Scientific reports · 2025Article
- A deep learning-based system for automatic detection of emesis with high accuracy in Suncus murinus.Communications biology · 2025Article
- Late development of OCD-like phenotypes in Dlgap1 knockout mice.Psychopharmacology · 2025Article
- Highly accurate and precise determination of mouse mass using computer vision.Patterns (New York, N.Y.) · 2024Article
- Pre-clinical Models for Geriatric Pharmacotherapy.Drugs & aging · 2024Review
- Visual detection of seizures in mice using supervised machine learning.bioRxiv : the preprint server for biology · 2024Article
- Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups Using a Single Model Across Cages.International journal of computer vision · 2024Article
- NAPS: Integrating pose estimation and tag-based tracking.Methods in ecology and evolution · 2023Article
- A groom with a view.eLife · 2023Article
- An Automated, Home-Cage, Video Monitoring-based Mouse Frailty Index Detects Age-associated Morbidity in C57BL/6 and Diversity Outbred Mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Automated detection of complex animal behaviors remains a challenging problem in neuroscience, particularly for behaviors that consist of disparate sequential motions. Grooming is a prototypical stereotyped behavior that is often used as an endophenotype in psychiatric genetics. Here, we used mouse grooming behavior as an example and developed a general purpose neural network architecture capable of dynamic action detection at human observer-level performance and operating across dozens of mouse strains with high visual diversity. We provide insights into the amount of human annotated training data that are needed to achieve such performance. We surveyed grooming behavior in the open field in 2457 mice across 62 strains, determined its heritable components, conducted GWAS to outline its genetic architecture, and performed PheWAS to link human psychiatric traits through shared underlying genetics. Our general machine learning solution that automatically classifies complex behaviors in large datasets will facilitate systematic studies of behavioral mechanisms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.