ArticleNature methods2024
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.
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 133 papers, 1 of them a synthesis that pooled it.
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Who cites it
133 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
- Disruption of ultrasonic vocalizations with systemic administration of the non-competitive N-methyl-D-aspartate receptor antagonist MK-801 in adult male mice.The international journal of neuropsychopharmacology · 2026Article
- A wireless modular platform for neuro-behavioral recording and closed-loop manipulation in small animals.Nature methods · 2026Article
- ABEL: an active-learning behavior estimation and labeling platform.bioRxiv : the preprint server for biology · 2026Article
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- Cross-species identification of conserved and divergent locomotor kinematic strategies using AutoGaitA.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The choice-wide behavioral association study: data-driven identification of interpretable behavioral components.Nature communications · 2026Article
- Vestibular nucleus stimulation for ameliorating locomotor dynamics in a Parkinsonian mouse model.Nature communications · 2026Article
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- Cell-type Plasticity Supports Behavioral Adaptations at the Water-to-Land Interface.bioRxiv : the preprint server for biology · 2026Article
- Signatures of Covert Neuron Loss in the Local Field Potential of Motor Cortex.Journal of the American Heart Association · 2026Article
- SqueakPose Studio, an end-to-end platform for pose estimation and real-time edge-AI deployment.eLife · 2026Article
- Beyond Fear Learning in Isolation: Integration of Social Dimensions into Aversive Learning.Current protocols · 2026Review
- 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
- Motor cortex directly excites the substantia nigra pars reticulata, the basal ganglia output nucleus.Nature communications · 2026Article
- Conserved role of primary motor cortex in the control of prehension in mice and macaques.Cell reports · 2026Article
- Naturalistic climbing reveals adaptive strategies for interlimb coordination in freely moving mice.iScience · 2026Article
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- Improving translational insight using sequential sampling models in drug choice.Psychopharmacology · 2026Review
- Cheese3D enables sensitive detection and analysis of whole-face movement in mice.Nature neuroscience · 2026Article
73 more citing papers are in PubMed but not listed here.
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Authors and funding
17 authors.
Funding
Abstract
Keypoint tracking algorithms can flexibly quantify animal movement from videos obtained in a wide variety of settings. However, it remains unclear how to parse continuous keypoint data into discrete actions. This challenge is particularly acute because keypoint data are susceptible to high-frequency jitter that clustering algorithms can mistake for transitions between actions. Here we present keypoint-MoSeq, a machine learning-based platform for identifying behavioral modules ('syllables') from keypoint data without human supervision. Keypoint-MoSeq uses a generative model to distinguish keypoint noise from behavior, enabling it to identify syllables whose boundaries correspond to natural sub-second discontinuities in pose dynamics. Keypoint-MoSeq outperforms commonly used alternative clustering methods at identifying these transitions, at capturing correlations between neural activity and behavior and at classifying either solitary or social behaviors in accordance with human annotations. Keypoint-MoSeq also works in multiple species and generalizes beyond the syllable timescale, identifying fast sniff-aligned movements in mice and a spectrum of oscillatory behaviors in fruit flies. Keypoint-MoSeq, therefore, renders accessible the modular structure of behavior through standard video recordings.
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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.