运动学习是包括运动学在内的几个学科的中心焦点,神经科学和康复。然而,鉴于这些领域的不同传统,当试图解释运动学习实验的证据和主张时,这种跨学科性可能是一个挑战。为了解决这个问题,我们为从任务选择到数据分析的运动学习实验设计提供了一套十条准则,主要是从运行实验室实验的角度来看。这些准则并不旨在作为严格的规则,而是提高对运动学习中关键问题的认识。我们认为,解决这些问题可以增加该领域工作的稳健性及其与现实世界的相关性。
Motor learning is a central focus of several disciplines including kinesiology, neuroscience and rehabilitation. However, given the different traditions of these fields, this interdisciplinarity can be a challenge when trying to interpret evidence and claims from motor learning experiments. To address this issue, we offer a set of ten
guidelines for designing motor learning experiments starting from task selection to data analysis, primarily from the viewpoint of running lab-based experiments. The
guidelines are not intended to serve as rigid rules, but instead to raise awareness about key issues in motor learning. We believe that addressing these issues can increase the robustness of work in the field and its relevance to the real-world.