Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
J Neurophysiol. 2019 Sep 1;122(3):1050-1059. doi: 10.1152/jn.00830.2018. Epub 2019 Aug 7.
Adaptation of our movements to changes in the environment is known to be supported by multiple learning processes that operate in parallel. One is an implicit recalibration process driven by sensory-prediction errors; the other process counters the perturbation through more deliberate compensation. Prior experience is known to enable adaptation to occur more rapidly, a phenomenon known as "savings," but exactly how experience alters each underlying learning process remains unclear. We measured the relative contributions of implicit recalibration and deliberate compensation to savings across 2 days of practice adapting to a visuomotor rotation. The rate of implicit recalibration showed no improvement with repeated practice. Instead, practice led to deliberate compensation being expressed even when preparation time was very limited. This qualitative change is consistent with the proposal that practice establishes a cached association linking target locations to appropriate motor output, facilitating a transition from deliberate to automatic action selection. Recent research has shown that savings for visuomotor adaptation is attributable to retrieval of intentional, strategic compensation. This does not seem consistent with the implicit nature of memory for motor skills and calls into question the validity of visuomotor adaptation of reaching movements as a model for motor skill learning. Our findings suggest a solution: that additional practice adapting to a visuomotor perturbation leads to the caching of the initially explicit strategy for countering it.
我们知道,环境变化时的运动适应是由多个并行运作的学习过程支持的。其中一个是由感觉预测误差驱动的隐性重新校准过程;另一个过程则通过更刻意的补偿来抵消干扰。先前的经验使适应过程能够更快地发生,这种现象被称为“节省”,但确切地说,经验是如何改变每个潜在的学习过程的仍然不清楚。我们在两天的适应视觉运动旋转的练习中测量了隐性重新校准和刻意补偿对节省的相对贡献。随着重复练习,隐性重新校准的速度并没有提高。相反,即使准备时间非常有限,练习也会导致刻意补偿的表达。这种质的变化与以下观点一致,即练习建立了一个缓存关联,将目标位置与适当的运动输出联系起来,从而促进了从刻意到自动动作选择的转变。最近的研究表明,视觉运动适应的节省归因于对有意的、策略性补偿的检索。这似乎与运动技能记忆的内隐性不一致,也对以视觉运动适应为模型的运动技能学习的有效性提出了质疑。我们的研究结果提出了一个解决方案:即额外的适应视觉运动干扰的练习会导致最初用于对抗干扰的明确策略被缓存。