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. Author manuscript; available in PMC: 2023 May 1.
Published in final edited form as: Alcohol. 2022 Feb 15;100:41–56. doi: 10.1016/j.alcohol.2022.02.001

Figure 3.

Figure 3.

Machine learning approaches for pose estimation and clustering of behaviors in mice. Top: Pose estimation algorithms, such as DeepLabCut, can track mouse body parts across time. Middle: Supervised machine learning approaches (e.g., SiMBA) can identify specific behaviors when classifiers are predefined. Bottom: Unsupervised machine learning algorithms (e.g., B-SOID, VAME) are used to identify different sets of behaviors in an unbiased manner.