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Dynamic Systems Approach in Sensorimotor Synchronization: Adaptation to Tempo Step-Change.

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  • 1Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway.

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|July 8, 2021
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Summary
This summary is machine-generated.

This study models sensorimotor synchronization (SMS) using dynamic systems. Human finger tapping responses to metronome tempo changes reveal distinct behavioral regimes around a 12% tempo shift.

Keywords:
frequency domainperiod correctionpole/zero systemsrhythmic perceptionroot locus analysissensorimotor synchronizationsystem identificationtempo step-change

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Human-Computer Interaction

Background:

  • Sensorimotor synchronization (SMS) involves coordinating motor output with external temporal stimuli.
  • Previous models often treat discrete events, limiting analysis of continuous dynamic processes.
  • Understanding human response dynamics to tempo changes is crucial for various applications.

Purpose of the Study:

  • To develop and validate a dynamic systems model for sensorimotor synchronization (SMS) tasks.
  • To investigate human responses to discrete tempo changes in a metronome-tapping experiment.
  • To identify the critical tempo change threshold influencing human perception and response.

Main Methods:

  • Applied dynamic systems modeling to regularly sampled time signals derived from discrete events.
  • Utilized system identification to estimate transfer functions for linear, time-invariant systems at each tempo step.
  • Expanded a pilot study with three participants performing a metronome-tapping task with stepwise tempo variations.

Main Results:

  • A minimum second-order linear system with delay, two poles, and one zero accurately modeled key features of human tempo step response.
  • An additional third pole improved model fit to response data.
  • Two distinct behavioral regimes were identified, separated by a tempo step threshold around 12% of the base tempo.

Conclusions:

  • The dynamic systems model effectively captures human sensorimotor synchronization dynamics during tempo changes.
  • Human perception and response to tempo shifts exhibit distinct patterns above and below a ~12% change.
  • Findings integrate insights from SMS, psychoacoustics, and behavioral neuroscience for a comprehensive understanding.