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A Kuramoto model of self-other integration across interpersonal synchronization strategies

Fig 6

Clustering dendrogram and resulting lag patterns.

In A and in B the clustering dendrogram for, respectively, the two-oscillator model and the four-oscillator model are shown. In C the corresponding mean lag patterns for the two-oscillator model is shown. In this case, the two-oscillator model produced six significantly different lag patterns. Out of these six, three exhibit a strong lag-0 component (clusters 1, 5, and 6), and the remaining three shows weak correlations across the lags. In D we show the same procedure applied to data from the four-oscillator model. Here we see a much richer variety of lag patterns, with 12 being significantly different. Note that the lag patterns produced from the clustering algorithm do not necessarily constitute synchronization strategies, but rather patterns that are quantitatively different from each other. The high number of different clusters also, in part, stems from the flip symmetry in the system, as is seen for instance in cluster 1 and cluster 8.

Fig 6

doi: https://doi.org/10.1371/journal.pcbi.1007422.g006