Topic: markerless 3D tracking

Walking is a familiar but complex behavior, requiring the continuous coordination of multiple muscles while integrating proprioceptive feedback to correct for unanticipated disturbances. Although a variety of walking models propose mechanisms for this coordination, the neural computations proposed by these models have yet to be experimentally validated. Two crucial barriers are (1) gaps in modeling approaches that integrate specific neural dynamics with realistic kinematics to connect predictions to observations and (2) the inherent difficulty in perturbing or recording from neurons during wal

Behavioral science, a multidisciplinary field spanning neuroscience, psychology, and ecology, aims to understand individual, collective, and social behaviors along with their neural and genetic correlates. Nevertheless, quantifying naturalistic behaviors remains challenging due to time-consuming manual methods that are prone to errors and inconsistencies. Integrating techniques from physics, computer science, and mathematics has improved this process, particularly in pose estimation. Several tools for pose estimation exist, but they have been mainly designed for standard animal models such as