Temporal and amplitude generalization in motor learning
Temporal and amplitude generalization in motor learning
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DOI：
10.1152/jn.1998.79.4.1825
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发表时间：
1998-04-01
影响因子：
2.5
通讯作者：
Wolpert, DM
中科院分区：
文献类型：
--
作者：
Goodbody, SJ;Wolpert, DM
人类运动控制的一个基本特征是能够毫不费力地在很大范围内变化，包括运动的持续时间和幅度。我们使用了一个三维机器人界面，它在手上产生了新的速度依赖力，来研究如何适应这些改变的动力学体验，只对一个时间速率和幅度的运动进行概括，以不同的速度或幅度进行动作。在受试者学习了在一个新的速度依赖的力场中做一个点对点的运动后，我们检查了这种学习对持续时间的一半或幅度的两倍的运动的概括。这种运动探索了学习过程中没有经历过的状态空间--行为的任何变化都是由于学习的泛化，学习的形式被用来探索运动控制过程的内在约束。通过确定受试者产生运动学上正常动作的力场来评估概括性。我们发现，运动学习对新动作的实质性概括支持控制过程的非局部表征。在所测试的场中，控制器的状态空间表示中的线性外推是概括形式的最好表征。这种对电机控制过程的内在约束可以促进自然运动的缩放。
A fundamental feature of human motor control is the ability to vary effortlessly over a substantial range, both the duration and amplitude of our movements. We used a three-dimensional robotic interface, which generated novel velocity dependent forces on the hand, to investigate how adaptation to these altered dynamics experienced only for movements at one temporal rate and amplitude generalizes to movements made at a different rate or amplitude. After subjects had learned to make a single point-to-point movement in a novel velocity-dependent force field, we examined the generalization of this learning to movements of both half the duration or twice the amplitude. Such movements explore a state-space not experienced during learning-any changes in behavior are due to generalization of the learning, the form of which was used to probe the intrinsic constraints on the motor control process. The generalization was assessed by determining the force field in which subjects produced kinematically normal movements. We found substantial generalization of the motor learning to the new movements supporting a nonlocal representation of the control process. Of the fields tested, the form of the generalization was best characterized by linear extrapolation in a state-space representation of the controller. Such an intrinsic constraint on the motor control process can facilitate the scaling of natural movements.