摘要：This paper examines the issue of change in motor learning from a dynamical systems framework. There is qualitative and quantitative change to performance over time that is driven by an embedded set of evolving dynamical systems each with its own time scale of change. Learning arises through searching and the evolution and dissolution of the stable dynamical regions of coordination modes for a given task. Learning then is discovering (searching for) the dynamic laws. The nature of the relevant of information that facilitates the search and the transitions of the stable modes of performance is the key to the efficacy of learning strategies.
关键词：Motor learning. Degrees of freedom. Dimension. Task constraints.
