吸引子
运动学习
培训(气象学)
计算机科学
运动技能
叠加原理
动力学(音乐)
过程(计算)
人工智能
认知心理学
心理学
数学
物理
发展心理学
数学分析
神经科学
气象学
操作系统
教育学
作者
Shannon Morrison,Karl M. Newell
标识
DOI:10.1080/02640414.2023.2220177
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI