Morrison Steven, Newell Karl M
School of Rehabilitation Sciences, Old Dominion University, Norfolk, VA, USA.
Department of Kinesiology, University of Georgia, Athens, GA, USA.
J Sports Sci. 2023 Mar;41(5):408-423. doi: 10.1080/02640414.2023.2220177. Epub 2023 Jun 4.
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.
本文概述了一个将力量训练作为感知 - 运动学习动力学模型的框架。我们强调定点吸引子动力学，表明力量训练可以映射到由动作约束产生的运动学习的一般动力学原理，包括练习/训练的分布。离散力量训练和运动学习任务中性能变化（增加和减少）各自动力学的时间尺度揭示了定点动力学中指数函数的叠加，但在振荡极限环和更连续的任务中有独特的吸引子和参数动力学，以及处理影响（包括练习、学习、力量、体能、疲劳、热身减量）的独特时间尺度。力量的增加和减少可以在运动性能变化的动力学模型中看待，该模型反映了在学习和技能发展的多个层面上练习和训练过程的整合。
