Litcius/Paper detail

Strength training as a dynamical model of motor learning

Steven Morrison, Karl M. Newell

2023Journal of Sports Sciences11 citationsDOI

Abstract

This paper outlines a framework for strength training as a dynamical model of perceptual-motor learning. We show, with emphasis on fixed-point attractor dynamics, that strength training can be mapped to the general dynamical principles of motor learning that arise from the constraints on action, including the distribution of practice/training. The time scales of the respective dynamics of performance change (increment and decrement) in discrete strength training and motor learning tasks reveal superposition of exponential functions in fixed-point dynamics, but distinctive attractor and parameter dynamics in oscillatory limit cycle and more continuous tasks, together with unique timescales to process influences (including practice, learning, strength, fitness, fatigue, warm-up decrement). Increments and decrements of strength can be viewed within a dynamical model of change in motor performance that reflects the integration of practice and training processes at multiple levels of learning and skill development.

Topics & Concepts

AttractorMotor learningTraining (meteorology)Computer scienceMotor skillSuperposition principleDynamics (music)Process (computing)Artificial intelligenceCognitive psychologyPsychologyMathematicsPhysicsDevelopmental psychologyMathematical analysisMeteorologyNeuroscienceOperating systemPedagogyMotor Control and AdaptationAction Observation and SynchronizationMuscle activation and electromyography studies