Deep clustering of animal motion tracking data

Miranda, Lucas

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Deep clustering of animal motion tracking data

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Miranda, Lucas
IMPRS Translational Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society;
RG Statistical Genetics, Max Planck Institute of Psychiatry, Max Planck Society;

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Citation

Miranda, L. (2024). Deep clustering of animal motion tracking data. PhD Thesis, Technische Universität München, München.

Cite as: https://hdl.handle.net/21.11116/0000-000F-C1D9-2

Abstract

Until recently, measuring animal behavior implied either relying on observational studies, or on overly simplified settings. Leveraging advances in machine learning, it lately became common practice to track multiple body parts over time, without physical markers. This thesis aims to (1) develop novel deep clustering algorithms to explore the behavioral repertoire of animals using motion tracking, (2) deploy them in an open-source package, and (3) use them to characterize a real world animal model.