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 includes a Data Acquisition module (which works in combination with hardware designs for real-time monitoring of video data collection), an Active Learning Module for behavior annotation, a Database Module for users to share behavior classifiers, and an Analysis Module that returns classifier statistics. The system also includes a novel development called ethograph which constructs graph-based representations of bouts of behaviors to compare classifiers between different annotators. JABS provides a platform for different users to contribute to models for rodent behavior classification, making it useful for labs with any level of computational background.
This research tool was created by your colleagues. Please acknowledge the Principal Investigator, cite the article in which the tool was described, and include an RRID in the Materials and Methods of your future publications. RRID:SCR_023721