Automated monitoring and analysis of social behavior in Drosophila
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We introduce a method based on machine vision for automatically measuring aggression and courtship in Drosophila melanogaster. The genetic and neural circuit bases of these innate social behaviors are poorly understood. High-throughput behavioral screening in this genetically tractable model organism is a potentially powerful approach, but it is currently very laborious. Our system monitors interacting pairs of flies and computes their location, orientation and wing posture. These features are used for detecting behaviors exhibited during aggression and courtship. Among these, wing threat, lunging and tussling are specific to aggression; circling, wing extension (courtship 'song') and copulation are specific to courtship; locomotion and chasing are common to both. Ethograms may be constructed automatically from these measurements, saving considerable time and effort. This technology should enable large-scale screens for genes and neural circuits controlling courtship and aggression.
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Machine learning can address different objectives in numerous distinct fields of animal behaviour and is becoming a staple approach for novel methods.
“It is clear that ML can address different objectives in numerous distinct fields of animal behaviour and is thus becoming a staple approach for novel methods (Dankert, Wang, Hoopfer, Anderson, & Perona, 2009;Kabra et al., 2013).”
From Applications of machine learning in animal behaviour studies (2017) · cites this paper as Dankert et al., 2009
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- Authors
- Dankert, H., Wang, L., Hoopfer, E. D., Anderson, D. J., & Perona, P.
- Affiliations
- California Institute of Technology (US)
- Corresponding author
- Anderson, David J
- Perona, Pietro
- Venue
- Nature Methods
- Published
- 2009-03-08
- Volume
- 6
- Issue
- 4
- Pages
- 297-303
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC2679418
- OpenAlex
- W2122244877
- Cited by
- 382
- References
- 31
- Citations by year
- 2026: 18 · 2025: 32 · 2024: 20 · 2023: 14 · 2022: 19 · 2021: 19 · 2020: 25 · 2019: 24 · 2018: 23 · 2017: 33 · 2016: 22 · 2015: 21 · 2014: 26 · 2013: 23 · 2012: 26
- FWCI
- 8.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute on Drug Abuse (R01DA022777)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Zebrafish Biomedical Research Applications
- Keywords
- Drosophila melanogaster, machine vision, aggression, courtship behavior, social behavior, ethogram, locomotion, neural circuits
- MeSH terms
- Animals, Artificial Intelligence, Behavior, Animal, Drosophila melanogaster, Humans, Image Interpretation, Computer-Assisted, Monitoring, Physiologic, Movement, Pattern Recognition, Automated, Posture, Social Behavior
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