Congratulations to the Wesson lab on their recent publication: “Machine learning-based clustering and classification of mouse behaviors via respiratory patterns”
The research uncovers a wide diversity in breathing patterns across spontaneous, attractive odor-, stress-, and fear-induced behaviors in mice. With collaborators the lab implemented a supervised machine learning model to uncover that breathing patterns can separate these behaviors with and accuracy of 80%. The findings highlight the tight relationship between breathing and behavior and the potential use of breathing patterns to aid in distinguishing similar behaviors and inform about their internal states.