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Hebbian learning with elasticity explains how the spontaneous motor tempo affects music performance synchronization
Iran R Roman1, Adrian S Roman2, Ji Chul Kim3
1Center for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, California, United States of America.
Plos Computational Biology
|June 7, 2023
Summary
Musicians' spontaneous motor tempo (SMT) influences their musical synchronization. A new dynamical model shows SMT acts as a pulling force, accurately predicting performance across various musical settings.
Area of Science:
- Cognitive Science
- Music Psychology
- Dynamical Systems Theory
Background:
- Spontaneous motor tempo (SMT) is a musician's intrinsic movement speed.
- SMT is known to influence musical tempo and synchronization.
- Previous studies show SMT affects performance in solo and duet settings.
Conclusions:
- The developed dynamical model provides a systems-based explanation for SMT's role in musical synchronization.
- The model accurately predicts performance in realistic musical settings.
- The model can be used to make predictions for untested performance scenarios.
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