Summary The early loss of vision results in a reorganized neocortex, affecting areas of the brain that process both the spared and lost senses, and leads to heightened abilities on discrimination tasks involving the spared senses. Here, we used performance measures and machine learning algorithms that quantify behavioral strategy to determine if and how early vision loss alters adaptive sensorimotor behavior. We tested opossums on a motor task involving somatosensation and found that early blind animals had increased limb placement accuracy compared with sighted controls, while showing similarities in crossing strategy. However, increased reliance on tactile inputs in early blind animals resulted in greater deficits in limb placement and behavioral flexibility when the whiskers were trimmed. These data show that compensatory cross-modal plasticity extends beyond sensory discrimination tasks to motor tasks involving the spared senses and highlights the importance of whiskers in guiding forelimb control.

Summary This protocol presents a workflow for detecting differences in kinematics between experimental conditions. It is tailored for short-tailed opossums but can be applied to any species capable of completing the ladder rung task. There are four phases of this protocol: (1) data collection, (2) pose tracking, (3) analysis of single trials, and (4) cross-condition comparisons. This pipeline implements aspects of machine learning and signal processing, allowing for rapid data analysis that provides insight into how animals perform this task. For complete details on the use and execution of this protocol, please refer to Englund et al. (2020) .