DeepLabStream enables closed-loop behavioral experiments using deep learning-based markerless, real-time posture detection

Abstract

DeepLabStream, developed by Schweihoff and colleagues, is a deep-learning based toolkit to conduct closed-loop behavioral experiments triggered by postural expressions. The capabilities of this new toolkit are shown in an optogenetic stimulation experiment capturing activity dependent neuronal ensembles, as well as in an autonomously conducted conditioning task.