Mathis, Mackenzie WeygandtMathis, Alexander2020-11-062020-11-062020-11-06202010.1016/j.conb.2019.10.008https://infoscience.epfl.ch/handle/20.500.14299/17305031791006Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capturing the postures of animals-pose estimation - has been rapidly advancing with new deep learning methods. While challenges still remain, we envision that the fast-paced development of new deep learning tools will rapidly change the landscape of realizable real-world neuroscience.text::journal::journal article::research article