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- Title
AlphaTracker: a multi-animal tracking and behavioral analysis tool.
- Authors
Zexin Chen; Ruihan Zhang; Hao-Shu Fang; Zhang, Yu E.; Bal, Aneesh; Haowen Zhou; Rock, Rachel R.; Padilla-Coreano, Nancy; Keyes, Laurel R.; Haoyi Zhu; Yong-Lu Li; Takaki Komiyama; Tye, Kay M.; Cewu Lu
- Abstract
Computer vision has emerged as a powerful tool to elevate behavioral research. This protocol describes a computer vision machine learning pipeline called AlphaTracker, which has minimal hardware requirements and produces reliable tracking of multiple unmarked animals, as well as behavioral clustering. AlphaTracker pairs a top-down pose-estimation software combined with unsupervised clustering to facilitate behavioralmotif discovery that will accelerate behavioral research. All steps of the protocol are provided as open-source software with graphic user interfaces or implementable with command-line prompts. Users with a graphical processing unit (GPU) can model and analyze animal behaviors of interest in less than a day. AlphaTracker greatly facilitates the analysis of the mechanism of individual/social behavior and group dynamics.
- Subjects
BEHAVIORAL assessment; COMPUTER vision; GROUP dynamics; SOCIAL groups; BEHAVIORAL research
- Publication
Frontiers in Behavioral Neuroscience, 2023, p1
- ISSN
1662-5153
- Publication type
Article
- DOI
10.3389/fnbeh.2023.1111908