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Three People Can Synchronize as Coupled Oscillators during Sports Activities

Overview of attention for article published in PLoS Computational Biology, October 2011
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Title
Three People Can Synchronize as Coupled Oscillators during Sports Activities
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002181
Pubmed ID
Authors

Keiko Yokoyama, Yuji Yamamoto

Abstract

We experimentally investigated the synchronized patterns of three people during sports activities and found that the activity corresponded to spatiotemporal patterns in rings of coupled biological oscillators derived from symmetric Hopf bifurcation theory, which is based on group theory. This theory can provide catalogs of possible generic spatiotemporal patterns irrespective of their internal models. Instead, they are simply based on the geometrical symmetries of the systems. We predicted the synchronization patterns of rings of three coupled oscillators as trajectories on the phase plane. The interactions among three people during a 3 vs. 1 ball possession task were plotted on the phase plane. We then demonstrated that two patterns conformed to two of the three patterns predicted by the theory. One of these patterns was a rotation pattern (R) in which phase differences between adjacent oscillators were almost 2π/3. The other was a partial anti-phase pattern (PA) in which the two oscillators were anti-phase and the third oscillator frequency was dead. These results suggested that symmetric Hopf bifurcation theory could be used to understand synchronization phenomena among three people who communicate via perceptual information, not just physically connected systems such as slime molds, chemical reactions, and animal gaits. In addition, the skill level in human synchronization may play the role of the bifurcation parameter.

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The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
France 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 16 18%
Student > Master 10 11%
Student > Bachelor 9 10%
Lecturer 6 7%
Other 16 18%
Unknown 12 14%
Readers by discipline Count As %
Psychology 14 16%
Sports and Recreations 14 16%
Agricultural and Biological Sciences 10 11%
Neuroscience 5 6%
Medicine and Dentistry 5 6%
Other 24 28%
Unknown 15 17%