Abstract

Rhythmic activities are ubiquitous in nature. Synchronization of rhythmic patterns can be found in interacting inanimate systems where the mechanism of the coupling can usually be identified and understood; it is also commonly observed in living systems where the mechanisms of the interaction are less apparent, and sometimes even mysterious. To characterize the statistical properties—and to develop a simple mathematical model—of these couplings can shed some light on an important class of phenomena of interacting living systems. In PNAS, Hennig (1) examines the cross-correlation of tempo time series: that is, the time intervals between successive musical beats, between two people playing rhythmic music in synchrony. Hennig finds long-range (power-law decayed) cross-correlation between the two synchronized tempo sequences. To simulate the observed phenomenon, Hennig proposes a simple mathematical model that might also be helpful in providing some insights into other synchronization processes in nature.

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