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URL: https://github.com/DeNardoLab/BehaviorDEPOT
Proper Citation: BehaviorDEPOT (RRID:SCR_023602)
Description: Software tool for automated behavioral detection based on markerless pose tracking. Behavioral analysis tool to first compile and clean point-tracking output from DeepLabCut, and then classify behavioral epochs using custom behavior classifiers. Used to detect frame by frame behavior from video time series and can analyze results of common experimental assays, including fear conditioning, decision-making in T-maze, open field, elevated plus maze, and novel object exploration. Calculates kinematic and postural statistics from keypoint tracking data from pose estimation software outputs.
Resource Type: source code, software resource
Defining Citation: PMID:35997072
Keywords: OpenBehavior, automated behavioral detection, markerless pose tracking, detect frame by frame behavior, video time series, kinematic and postural statistics,
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