ArticleAdvances in neural information processing systems2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.
Article in Advances in neural information processing systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining.ArXiv · 2026Article
- YORU: Animal behavior detection with object-based approach for real-time closed-loop feedback.Science advances · 2026Article
- Deep Imputation for Skeleton data (DISK) for behavioral science.Nature methods · 2026Article
- FERAL: A Video-Understanding System for Direct Video-to-Behavior Mapping.bioRxiv : the preprint server for biology · 2025Article
- TiDHy: Timescale Demixing via Hypernetworks to learn simultaneous dynamics from mixed observations.bioRxiv : the preprint server for biology · 2025Article
- Coordination and persistence of aggressive visual communication in Siamese fighting fish.Cell reports · 2025Article
- Article
- Vocal Call Locator Benchmark (VCL) for localizing rodent vocalizations from multi-channel audio.bioRxiv : the preprint server for biology · 2024Article
- Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience.Nature neuroscience · 2024Article
- A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms.Neurons, behavior, data analysis, and theory · 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
- 3D mouse pose from single-view video and a new dataset.Scientific reports · 2023Article
- Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress.Nature communications · 2023Article
- Persistent animal identification leveraging non-visual markers.Machine vision and applications · 2023Article
- The what, how, and why of naturalistic behavior.Current opinion in neurobiology · 2022Review
- Self-Supervised Keypoint Discovery in Behavioral Videos.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2022Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Multi-agent behavior modeling aims to understand the interactions that occur between agents. We present a multi-agent dataset from behavioral neuroscience, the Caltech Mouse Social Interactions (CalMS21) Dataset. Our dataset consists of trajectory data of social interactions, recorded from videos of freely behaving mice in a standard resident-intruder assay. To help accelerate behavioral studies, the CalMS21 dataset provides benchmarks to evaluate the performance of automated behavior classification methods in three settings: (1) for training on large behavioral datasets all annotated by a single annotator, (2) for style transfer to learn inter-annotator differences in behavior definitions, and (3) for learning of new behaviors of interest given limited training data. The dataset consists of 6 million frames of unlabeled tracked poses of interacting mice, as well as over 1 million frames with tracked poses and corresponding frame-level behavior annotations. The challenge of our dataset is to be able to classify behaviors accurately using both labeled and unlabeled tracking data, as well as being able to generalize to new settings.
Identifiers
38706835PMC11067713What OpenQuestion holds
Registered trials
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