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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
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.
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.
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