ArticleNature methods2024
A-SOiD, an active-learning platform for expert-guided, data-efficient discovery of behavior.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Does advancement in marker-less pose-estimation mean more quality research? A systematic review.Frontiers in behavioral neuroscience · 2025Pooled it
- ABEL: an active-learning behavior estimation and labeling platform.bioRxiv : the preprint server for biology · 2026Article
- Vestibular nucleus stimulation for ameliorating locomotor dynamics in a Parkinsonian mouse model.Nature communications · 2026Article
- 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
- Cheese3D enables sensitive detection and analysis of whole-face movement in mice.Nature neuroscience · 2026Article
- Optimizing Intermediate Representations: A Framework for Low-Cost, High-Accuracy Behavior Quantification.bioRxiv : the preprint server for biology · 2026Article
- Optogenetic Analysis of Behavior in the MosquitobioRxiv : the preprint server for biology · 2026Article
- Neural Bases of Collective Social Behavior and Group Interactions across Species.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- YORU: Animal behavior detection with object-based approach for real-time closed-loop feedback.Science advances · 2026Article
- Article
- The ABCs of psychedelics: a preclinical roadmap for drug discovery.Trends in pharmacological sciences · 2025Review
- Article
- Structure-Aware Multi-Animal Pose Estimation for Space Model Organism Behavior Analysis.Animals : an open access journal from MDPI · 2025Article
- Rapid, Open-Source, and Automated Quantification of the Head Twitch Response in C57BL/6J Mice Using DeepLabCut and Simple Behavioral Analysis.ACS pharmacology & translational science · 2025Article
- Rapid, open-source, and automated quantification of the head twitch response in C57BL/6J mice using DeepLabCut and Simple Behavioral Analysis.bioRxiv : the preprint server for biology · 2025Article
- Three-dimensional markerless motion capture of multiple freely behaving monkeys toward automated characterization of social behavior.Science advances · 2025Article
- Computer vision for primate behavior analysis in the wild.Nature methods · 2025Review
- A circadian behavioral analysis suite for real-time classification of daily rhythms in complex behaviors.Cell reports methods · 2025Article
- Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station.Scientific data · 2025Article
- The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To identify and extract naturalistic behavior, two methods have become popular: supervised and unsupervised. Each approach carries its own strengths and weaknesses (for example, user bias, training cost, complexity and action discovery), which the user must consider in their decision. Here, an active-learning platform, A-SOiD, blends these strengths, and in doing so, overcomes several of their inherent drawbacks. A-SOiD iteratively learns user-defined groups with a fraction of the usual training data, while attaining expansive classification through directed unsupervised classification. In socially interacting mice, A-SOiD outperformed standard methods despite requiring 85% less training data. Additionally, it isolated ethologically distinct mouse interactions via unsupervised classification. We observed similar performance and efficiency using nonhuman primate and human three-dimensional pose data. In both cases, the transparency in A-SOiD's cluster definitions revealed the defining features of the supervised classification through a game-theoretic approach. To facilitate use, A-SOiD comes as an intuitive, open-source interface for efficient segmentation of user-defined behaviors and discovered sub-actions.
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38383746What 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.