Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Neurosci Lett. 2011 Aug 18;500(3):207-11. doi: 10.1016/j.neulet.2011.06.039. Epub 2011 Jun 29.
A major goal in the study of motor learning is to improve the extent to which subjects adapt their movements in response to errors. Recent attention has focused on the gradual-adaptation paradigm, in which an adaptive stimulus is introduced incrementally, rather than all at once as in conventional adaptation paradigms. However, there is disagreement - even among studies involving the same sensorimotor-learning task - as to the robustness of this approach. In particular, although all studies confirm that retention of learning is improved, not all agree that exposure to a gradual-adaptation paradigm can improve the extent of adaptation that takes place. Also, the paradigm has not previously been studied with saccadic eye movements, which are unique in that they typically lack online error feedback during each movement. To determine the effectiveness of gradual adaptation in this system, we compared saccadic adaptation performed with gradual and conventional adaptation paradigms. We find evidence consistent with more robust adaptation - in the sense of greater extent of adaptation as well as greater retention of learning (larger aftereffects) - in response to a gradual adaptation stimulus. The results suggest the need to develop alternative models of motor learning, as current error-based modeling efforts are unable to account for the increased extent of adaptation when subjects are only exposed to the full adaptive stimulus for a brief time.
运动学习研究的一个主要目标是提高主体在响应错误时适应运动的程度。最近,人们的注意力集中在逐渐适应范式上,在这种范式中,适应性刺激是逐步引入的,而不是像传统适应范式那样一次性引入。然而,即使是在涉及相同的感觉运动学习任务的研究中,人们对此方法的稳健性也存在分歧。特别是,尽管所有研究都证实学习的保持得到了改善,但并非所有研究都同意,接触逐渐适应范式可以提高适应的程度。此外,该范式以前没有用扫视眼动进行研究,扫视眼动在每个运动过程中通常缺乏在线错误反馈,这是独特的。为了确定该系统中逐渐适应的有效性,我们比较了使用逐渐和传统适应范式进行的扫视适应。我们发现的证据与更稳健的适应一致——从适应的程度更大以及学习的保持(后效更大)的角度来看——对逐渐适应刺激的反应。研究结果表明,需要开发替代的运动学习模型,因为当主体只接触完整的适应性刺激很短时间时,基于当前错误的建模工作无法解释适应程度的增加。