ArticleeLife2021
The Mouse Action Recognition System (MARS) software pipeline for automated analysis of social behaviors in mice.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.
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Who cites it
117 citing papers in PubMed, 1 synthesis or guideline pooled it, 221 citations in OpenAlex.
- Does advancement in marker-less pose-estimation mean more quality research? A systematic review.Frontiers in behavioral neuroscience · 2025Pooled it
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- Toward video-LLM driven workflow for behavioral segmentation and scoring in mice performing a skilled water-reaching task: an evaluation of recent LLM models.Neurophotonics · 2026Article
- The Dorsal CA2 to Ventral CA1 Circuit Contributes to Spatial and Context-Dependent Memories.Neuroscience bulletin · 2026Article
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- Optimizing Intermediate Representations: A Framework for Low-Cost, High-Accuracy Behavior Quantification.bioRxiv : the preprint server for biology · 2026Article
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- Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining.ArXiv · 2026Article
- IntelliProfiler: a research workflow for analyzing multiple animals with a high-resolution home-cage RFID system.Lab animal · 2026Article
- Joint modelling of brain and behaviour dynamics with artificial intelligence.Nature reviews. Neuroscience · 2026Review
- FERAL: A Video-Understanding System for Direct Video-to-Behavior Mapping.bioRxiv : the preprint server for biology · 2025Article
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- Structure-Aware Multi-Animal Pose Estimation for Space Model Organism Behavior Analysis.Animals : an open access journal from MDPI · 2025Article
- A line attractor maintains aggressiveness during feeding in "hangry" mice.bioRxiv : the preprint server for biology · 2025Article
- Rodent Social Behavior Recognition Using a Global Context-Aware Vision Transformer Network.AI (Basel, Switzerland) · 2025Article
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- Identity-stable multi-animal tracking using bidirectional segmentation with object-level memory.bioRxiv : the preprint server for biology · 2025Article
57 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
The study of naturalistic social behavior requires quantification of animals' interactions. This is generally done through manual annotation-a highly time-consuming and tedious process. Recent advances in computer vision enable tracking the pose (posture) of freely behaving animals. However, automatically and accurately classifying complex social behaviors remains technically challenging. We introduce the Mouse Action Recognition System (MARS), an automated pipeline for pose estimation and behavior quantification in pairs of freely interacting mice. We compare MARS's annotations to human annotations and find that MARS's pose estimation and behavior classification achieve human-level performance. We also release the pose and annotation datasets used to train MARS to serve as community benchmarks and resources. Finally, we introduce the Behavior Ensemble and Neural Trajectory Observatory (BENTO), a graphical user interface for analysis of multimodal neuroscience datasets. Together, MARS and BENTO provide an end-to-end pipeline for behavior data extraction and analysis in a package that is user-friendly and easily modifiable.
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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.