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Strength training as a dynamical model of motor learning.

Steven Morrison1, Karl M Newell2

  • 1School of Rehabilitation Sciences, Old Dominion University, Norfolk, VA, USA.

Journal of Sports Sciences
|June 4, 2023
PubMed
Summary

Strength training can be modeled as perceptual-motor learning using dynamical systems principles. This framework explains performance changes by integrating practice and training influences across various timescales.

Keywords:
Time scalesattractor dynamicsfatigueperiodisationpracticeskill

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Area of Science:

  • Motor Control
  • Dynamical Systems Theory
  • Perceptual-Motor Learning

Background:

  • Strength training involves complex motor skill acquisition.
  • Motor learning research often employs dynamical systems principles.
  • A unified framework for strength training and motor learning is lacking.

Purpose of the Study:

  • To propose a dynamical systems framework for strength training.
  • To map strength training onto established motor learning principles.
  • To analyze the timescales of performance changes in strength training.

Main Methods:

  • Modeling strength training as a dynamical system.
  • Emphasis on fixed-point attractor dynamics.
  • Analysis of performance increments and decrements over time.

Main Results:

  • Strength training aligns with general dynamical principles of motor learning.
  • Distinct timescales characterize different types of performance changes (e.g., discrete vs. continuous tasks).
  • Unique timescales exist for processing various influences like practice, fatigue, and learning.

Conclusions:

  • Strength training can be effectively conceptualized as a dynamical model of perceptual-motor learning.
  • The framework integrates practice and training effects across multiple learning levels.
  • Understanding these dynamical principles can optimize training and skill development.