mlsanityData to 7 Oct 2026

Mapping the stereotyped behaviour of freely-moving fruit flies

arXiv 1310.4249 ↗First posted 16 Oct 2013q-bio.QM cs.CV physics.bio-phcited by 21

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Abstract (arXiv)

Most animals possess the ability to actuate a vast diversity of movements, ostensibly constrained only by morphology and physics. In practice, however, a frequent assumption in behavioral science is that most of an animal's activities can be described in terms of a small set of stereotyped motifs. Here we introduce a method for mapping the behavioral space of organisms, relying only upon the underlying structure of postural movement data to organize and classify behaviors. We find that six different drosophilid species each perform a mix of non-stereotyped actions and over one hundred hierarchically-organized, stereotyped behaviors. Moreover, we use this approach to compare these species' behavioral spaces, systematically identifying subtle behavioral differences between closely-related species.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Oct 2013.

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Citing papers per year: 2021: 6; 2022: 3; 2023: 4; 2024: 4; 2025: 3; 2026: 1.

21 papers.

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  1. 2021The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactionscited by 31
  2. 2021Self-Supervised Keypoint Discovery in Behavioral Videoscited by 23
  3. 2022MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behaviorcited by 12
  4. 2021Unsupervised Learning of Neurosymbolic Encoderscited by 8
  5. 2021Measuring and modeling the motor system with machine learningcited by 7
  6. 2022Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviarycited by 7
  7. 2021Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysiscited by 6
  8. 2022Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Developmentcited by 4
  9. 2023CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Surveycited by 4
  10. 2024Animal Behavior Analysis Methods Using Deep Learning: A Surveycited by 4
  11. 2023A benchmark for computational analysis of animal behavior, using animal-borne tagscited by 2
  12. 2024Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervisioncited by 2
9 more
  1. 2023Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoringcited by 1
  2. 2024A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigmscited by 1
  3. 2025Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behaviorcited by 1
  4. 2021Bubblewrap: Online tiling and real-time flow prediction on neural manifoldscited by 0
  5. 2023The Lost Art of Mathematical Modellingcited by 0
  6. 2024Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensionscited by 0
  7. 2025From eye to AI: studying rodent social behavior in the era of machine Learningcited by 0
  8. 2025Behavioural Classification in C. elegans: a Spatio-Temporal Analysis of Locomotioncited by 0
  9. 2026On Out-of-sample Embedding in UMAPcited by 0