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在变化的动态环境中的运动控制与学习。

Motor control and learning in altered dynamic environments.

作者信息

Lackner James R, DiZio Paul

机构信息

Ashton Graybiel Spatial Orientation Laboratory, Brandeis University, 415 South Street, Waltham, Massachusetts, 02454-9110, USA.

出版信息

Curr Opin Neurobiol. 2005 Dec;15(6):653-9. doi: 10.1016/j.conb.2005.10.012. Epub 2005 Nov 3.

Abstract

Dynamic perturbations of reaching movements are an important technique for studying motor learning and adaptation. Adaptation to non-contacting, velocity-dependent inertial Coriolis forces generated by arm movements during passive body rotation is very rapid, and when complete the Coriolis forces are no longer sensed. Adaptation to velocity-dependent forces delivered by a robotic manipulandum takes longer and the perturbations continue to be perceived even when adaptation is complete. These differences reflect adaptive self-calibration of motor control versus learning the behavior of an external object or 'tool'. Velocity-dependent inertial Coriolis forces also arise in everyday behavior during voluntary turn and reach movements but because of anticipatory feedforward motor compensations do not affect movement accuracy despite being larger than the velocity-dependent forces typically used in experimental studies. Progress has been made in understanding: the common features that determine adaptive responses to velocity-dependent perturbations of jaw and limb movements; the transfer of adaptation to mechanical perturbations across different contact sites on a limb; and the parcellation and separate representation of the static and dynamic components of multiforce perturbations.

摘要

对伸手动作进行动态扰动是研究运动学习与适应的一项重要技术。在被动身体旋转过程中,适应手臂运动产生的非接触式、与速度相关的惯性科里奥利力非常迅速,并且适应完成后就不再能感觉到科里奥利力了。适应由机器人操作器施加的与速度相关的力所需时间更长,即使适应完成,扰动仍会持续被感知到。这些差异反映了运动控制的自适应自我校准与学习外部物体或“工具”行为之间的区别。在日常的转身和伸手动作中也会出现与速度相关的惯性科里奥利力,但由于预期的前馈运动补偿,尽管其比实验研究中通常使用的与速度相关的力更大,却不会影响运动精度。在理解以下方面已经取得了进展:决定对颌部和肢体运动的与速度相关扰动的适应性反应的共同特征;适应在肢体不同接触部位的机械扰动的转移;以及多力扰动的静态和动态成分的划分和单独表征。

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