Klaiman Eldad, Karniel Amir
Department of Electrical Engineering, Technion--Israel Institute of Technology, 32000, Haifa, Israel.
Exp Brain Res. 2006 May;171(2):204-14. doi: 10.1007/s00221-005-0263-z. Epub 2005 Nov 24.
From tying your shoes and clipping your tie to the claps at the end of a fine seminar, bimanual coordination plays a major role in our daily activities. An important phenomenon in bimanual coordination is the predisposition toward mirror symmetry in the performance of bimanual rhythmic movements. Although learning and adaptation in bimanual coordination are phenomena that have been observed, they have not been studied in the context of adaptive control and internal representations-approaches that were successfully employed in the arena of reaching movements and adaptation to force perturbations. In this paper we examine the dynamics of the learning mechanisms involved when subjects are trained to perform a bimanual non-harmonic polyrhythm in a bimanual index finger tapping task. Subjects are trained in this task implicitly, using altered visual feedback, while their performance is continuously monitored throughout the experiment. Our experimental results indicate the existence of significant (p<<0.01) learning curves (i.e., error plots with significantly negative slopes) during training and aftereffects with a washout period after the visual feedback ceases to be altered. These results confirm the formation of internal representations in bimanual motor control. We present a simple, physiologically plausible, neural model that combines feedback and adaptation in the control process and which is able to reproduce key phenomena of bimanual coordination and adaptation.
从系鞋带、系领带,到一场精彩研讨会结束时的鼓掌,双手协调在我们的日常活动中发挥着重要作用。双手协调中的一个重要现象是,在进行双手节律性运动时,倾向于呈现镜像对称。尽管在双手协调中已经观察到学习和适应现象,但尚未在自适应控制和内部表征的背景下进行研究,而这两种方法在伸手动作和适应力扰动领域中得到了成功应用。在本文中,我们研究了在双手食指敲击任务中,受试者接受训练以执行双手非谐波多节奏时所涉及的学习机制的动态变化。在实验过程中,受试者通过改变视觉反馈,以隐性方式接受该任务训练,同时持续监测他们的表现。我们的实验结果表明,在训练期间存在显著(p<<0.01)的学习曲线(即斜率显著为负的误差图),并且在视觉反馈停止改变后的洗脱期存在后效。这些结果证实了双手运动控制中内部表征的形成。我们提出了一个简单的、具有生理合理性的神经模型,该模型在控制过程中结合了反馈和适应,并且能够重现双手协调和适应的关键现象。