The video shows an animal’s posture predicted from its neural activity using the PCA mode (right) alongside the animal’s true posture (left) for comparison. The PCA model performs more poorly than the Sparse Linear Model shown in Movie S1. The gray track shows the predicted and true center of mass location of the animal, respectively. The predicted posture is initialized with the animal’s true posture at the beginning of the recording and updated every 10 seconds with information from the animal’s true posture so as to correct for accumulating errors. The timestamp flashes red to indicate each update.