Fig. 4 |. Unsupervised embedding of body position dynamics.

a, Density of freely moving fly body-part trajectories, after projection of their spectrograms into two dimensions via unsupervised nonlinear manifold embedding¹¹. The distribution shown was generated from 21.1 million frames. Regions in the space with higher density correspond to stereotyped movement patterns, whereas low-density regions form natural divisions between distinct dynamics. A watershed algorithm was used to separate the peaks in the probability distribution (Methods). b, Cluster boundaries from a with cluster numbers indicated. c–h, Average spectrograms for the indicated body parts from time points that fall within the dominant grooming clusters; cluster numbers are indicated in b. Qualitative labels for each cluster based on visual inspection are provided for convenience. Color map corresponds to normalized power for each body part.