ArticleProceedings of the National Academy of Sciences of the United States of America2015
Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.
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Who cites it
124 citing papers in PubMed, 339 citations in OpenAlex.
- Article
- A novel behavioral paradigm for odor-induced voluntary urination in mice.Scientific reports · 2026Article
- IntelliProfiler: a research workflow for analyzing multiple animals with a high-resolution home-cage RFID system.Lab animal · 2026Article
- Natural variation in the oxytocin receptor gene predicts social observation in female prairie voles.bioRxiv : the preprint server for biology · 2025Article
- A line attractor maintains aggressiveness during feeding in "hangry" mice.bioRxiv : the preprint server for biology · 2025Article
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- Identity-stable multi-animal tracking using bidirectional segmentation with object-level memory.bioRxiv : the preprint server for biology · 2025Article
- A machine learning tool with light-based image analysis for automatic classification of 3D pain behaviors.Cell reports methods · 2025Article
- Mapping the landscape of social behavior.Cell · 2025Article
- Microglial type I interferon signaling mediates chronic stress-induced synapse loss and social behavior deficits.Molecular psychiatry · 2025Article
- Quantifying social distance using deep learning-based video analysis: results from the BTBR mouse model of autism.Frontiers in behavioral neuroscience · 2025Article
- OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints.Frontiers in systems neuroscience · 2025Article
- A Survey on AI-Driven Mouse Behavior Analysis Applications and Solutions.Bioengineering (Basel, Switzerland) · 2024Review
- Characterizing the structure of mouse behavior using Motion Sequencing.Nature protocols · 2024Review
- Article
- Long-term tracking of social structure in groups of rats.Scientific reports · 2024Article
- Article
- Mapping the landscape of social behavior.bioRxiv : the preprint server for biology · 2024Article
- Mapping the developmental structure of stereotyped and individual-unique behavioral spaces in C. elegans.Cell reports · 2024Article
- Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience.Nature neuroscience · 2024Article
64 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new integrated hardware and software system that combines video tracking, depth sensing, and machine learning for automatic detection and quantification of social behaviors involving close and dynamic interactions between two mice of different coat colors in their home cage. We designed a hardware setup that integrates traditional video cameras with a depth camera, developed computer vision tools to extract the body "pose" of individual animals in a social context, and used a supervised learning algorithm to classify several well-described social behaviors. We validated the robustness of the automated classifiers in various experimental settings and used them to examine how genetic background, such as that of Black and Tan Brachyury (BTBR) mice (a previously reported autism model), influences social behavior. Our integrated approach allows for rapid, automated measurement of social behaviors across diverse experimental designs and also affords the ability to develop new, objective behavioral metrics.
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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.