Dr. Shuzo Sakata, from the University of Strathclyde, has developed a new tool for classifying animal behaviors. This MATLAB package, called SaLSa, offers an innovative approach to analyzing and categorizing behaviors using pose estimation data. Traditional manual...
Gabriele Chelini and colleagues at The University of Trento, under the mentorship of Yuri Bozzi, introduce SEB3R, an automated method for tracking mouse body language and studying emotional behaviors. SEB3R quickly identifies different postures of mice and associates...
Video analysis of freely-moving animals has become a staple of animal neuroscience research. During the last few years, different software packages for extracting vital information from video recordings of animal behavior have become available. Packages like...
Several popular methods for pose estimation have emerged in recent years. DeepLabCut and LEAP are popular tools for tracking actions of individual animals. The projects are well documented and numerous tutorials exist that make it easy for new users to learn and use...
Researchers from the Mathis Group & Mathis Lab at EPFL/Harvard have collaboratively developed DeepLabCut, an open source software package for markerless pose estimation. This software features a robust and fast algorithm for transfer learning with deep neural...
