Traditional methods for understanding animal behavior through videos required experimenters to rewatch videos and manually score timing and location of events. This approach is time consuming, and prone to inconsistencies between different scorers. Pose estimation...
The use of video analysis techniques have transformed our understanding of animal behavior. Recently, members of the Datta Lab have developed tools to parse out mouse behavior into sub-second motifs. First, Sherry Lin and colleagues introduced Depth MoSeq, an...
Dan Biderman and colleagues from Columbia University posted their open-source improved pose estimation package to bioRxiv and GitHub. Links are provided below. Lightning Pose utilizes a semi-supervised approach to improve pose estimation robustness at three levels:...
There are a number of video-based behavior tracking packages available these days, including several that include methods for pose estimation. Such methods are incredibly powerful for many questions in behavioral neuroscience; however, sometimes a clean, simplified,...
Glen Beane and colleagues from the Kumar Lab at the Jackson Laboratory have developed JABS (JAX Animal Behavior System), an integrated hardware and software system with the purpose of building shared resources for mouse behavior analysis. The Python-based platform...
