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Decomposition of Internal Models in Arm Reaching Motions under Mixed Dynamic Environments

机译:混合动力环境下臂达到动作的内部模型分解

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Humans can behave adaptively in the different dynamical conditions. In order to realize the task quickly, smoothly or efficiently under the various environments, it is required to adjust the kinematic and dynamic relations among the body and environment according to the task. Recent studies have shown that humans can acquire a neural representation of the relation between motor command and movement, i.e. learn an internal model of the environment dynamics. Then, we can compensate for the external dynamic perturbation in a feedforward manner. Considering the situation of performing the complex tasks, such as using the tools, it is necessary to perceive a simple dynamics from complicated ones. The present paper discusses whether humans can identify one side of dynamics from the mixed environment dynamics.
机译:人类可以在不同的动态条件下自适应地表现。为了在各种环境下快速,平滑或有效地实现任务,需要根据任务调整身体和环境之间的运动和动态关系。最近的研究表明,人类可以获得电动机指挥和运动之间关系的神经表示,即学习环境动态的内部模型。然后,我们可以通过前馈方式弥补外部动态扰动。考虑到执行复杂任务的情况,例如使用工具,有必要从复杂的那里感知一个简单的动态。本文讨论了人类是否可以从混合环境动态识别动态的一侧。

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