ArticleJournal of neuroscience methods2013
Automated multi-day tracking of marked mice for the analysis of social behaviour.
Article in Journal of neuroscience methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
What it found
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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.
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Who cites it
72 citing papers in PubMed, 159 citations in OpenAlex.
- Functional imaging of nine distinct neuronal populations under a miniscope in freely behaving animals.eLife · 2026Article
- Tagging Very Small Fish: Two Effective and Low Impact Methods.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2026Article
- Development of an automated approach for investigating social learning in mice.Frontiers in behavioral neuroscience · 2026Article
- Identity-stable multi-animal tracking using bidirectional segmentation with object-level memory.bioRxiv : the preprint server for biology · 2025Article
- Induction of territorial dominance and subordination behaviors in laboratory mice.Scientific reports · 2024Article
- Article
- A small-molecule TrkB ligand improves dendritic spine phenotypes and atypical behaviors in female Rett syndrome mice.Disease models & mechanisms · 2024Article
- Markerless Mouse Tracking for Social Experiments.eNeuro · 2024Article
- Automated behavioral analysis reveals that mice employ a bait-and-switch escape mechanism to de-escalate social conflict.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
- Refinement of Animal Experiments: Replacing Traumatic Methods of Laboratory Animal Marking with Non-Invasive Alternatives.Animals : an open access journal from MDPI · 2023Review
- Unraveling the mechanisms of deep-brain stimulation of the internal capsule in a mouse model.Nature communications · 2023Article
- Re-wilding model organisms: Opportunities to test causal mechanisms in social determinants of health and aging.Neuroscience and biobehavioral reviews · 2023Review
- Noninvasive Tracking of Every Individual in Unmarked Mouse Groups Using Multi-Camera Fusion and Deep Learning.Neuroscience bulletin · 2023Article
- PyMouseTracks: Flexible Computer Vision and RFID-Based System for Multiple Mouse Tracking and Behavioral Assessment.eNeuro · 2023Article
- Review
- A paradigm shift in translational psychiatry through rodent neuroethology.Molecular psychiatry · 2023Review
- Leptin deficiency-caused behavioral change - A comparative analysis using EthoVision and DeepLabCut.Frontiers in neuroscience · 2023Article
- MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation.PloS one · 2023Article
- AlphaTracker: a multi-animal tracking and behavioral analysis tool.Frontiers in behavioral neuroscience · 2023Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
A quantitative description of animal social behaviour is informative for behavioural biologists and clinicians developing drugs to treat social disorders. Social interaction in a group of animals has been difficult to measure because behaviour develops over long periods of time and requires tedious manual scoring, which is subjective and often non-reproducible. Computer-vision systems with the ability to measure complex social behaviour automatically would have a transformative impact on biology. Here, we present a method for tracking group-housed mice individually as they freely interact over multiple days. Each mouse is bleach-marked with a unique fur pattern. The patterns are automatically learned by the tracking software and used to infer identities. Trajectories are analysed to measure behaviour as it develops over days, beyond the range of acute experiments. We demonstrate how our system may be used to study the development of place preferences, associations and social relationships by tracking four mice continuously for five days. Our system enables accurate and reproducible characterisation of wild-type mouse social behaviour and paves the way for high-throughput long-term observation of the effects of genetic, pharmacological and environmental manipulations.
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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.