School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA.
J Neurosci. 2011 Sep 21;31(38):13576-84. doi: 10.1523/JNEUROSCI.1143-11.2011.
The present study was designed to determine whether manipulation learned with a set of digits can be transferred to grips involving a different number of digits, and possible mechanisms underlying such transfer. The goal of the task was to exert a torque and vertical forces on a visually symmetrical object at object lift onset to balance the external torque caused by asymmetrical mass distribution. Subjects learned this manipulation through consecutive practice using one grip type (two or three digits), after which they performed the same task but with another grip type (e.g., after adding or removing one digit, respectively). Subjects were able to switch grip type without compromising the behavioral outcome (i.e., the direction, timing, and magnitude of the torque exerted on the object was unchanged), despite the use of significantly different digit force-position coordination patterns in the two grip types. Our results support the transfer of learning for anticipatory control of manipulation and indicate that the CNS forms an internal model of the manipulation task independent of the effectors that are used to learn it. We propose that sensory information about the new digit placement--resulting from adding or removing a digit immediately after the switch in grip type--plays an important role in the accurate modulation of new digit force distributions. We discuss our results in relation to studies of manipulation reporting lack of learning transfer and propose a theoretical framework that accounts for failure or success of motor learning generalization.
本研究旨在确定通过一组数字习得的操作是否可以转移到涉及不同数量数字的抓握中,以及这种转移的可能机制。任务的目标是在物体提起时施加扭矩和垂直力到视觉对称物体上,以平衡由不对称质量分布引起的外部扭矩。受试者通过连续使用一种抓握类型(两个或三个数字)进行练习来学习这种操作,然后他们使用另一种抓握类型执行相同的任务(例如,分别添加或删除一个数字)。尽管在两种抓握类型中使用了明显不同的数字力-位置协调模式,受试者仍然能够在不影响行为结果的情况下切换抓握类型(即施加到物体上的扭矩的方向、时间和幅度不变)。我们的结果支持对操作的预期控制进行学习迁移,并表明中枢神经系统形成了独立于用于学习它的效应器的操作任务的内部模型。我们提出,关于新数字位置的感觉信息——由于在抓握类型切换后立即添加或删除一个数字而产生——在新数字力分布的精确调制中起着重要作用。我们根据报告缺乏学习迁移的操作研究讨论了我们的结果,并提出了一个理论框架,解释了运动学习泛化的失败或成功。