Extended Data Fig. 5: Method-to-method differences in sensitivity to behavioral changepoints are robust to parameter settings.
From: Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
a) Output of unsupervised behavior segmentation algorithms across a range of parameter settings, applied to 2D keypoint data from two different camera angles (N=1 model fits per parameter set). The median state duration (left) and the average (z-scored) keypoint change score aligned to state transitions (right) are shown for each method and parameter value. Gray pointers indicate default parameter values used for subsequent analysis (see Supplementary Table 3 for a summary of parameters). b) Distributions showing the number of transitions that occur during each rear. c) Accuracy of kinematic decoding models that were fit to state sequences from each method.
