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运动适应的基元反映了对位置和速度的相关神经调谐。

Primitives for motor adaptation reflect correlated neural tuning to position and velocity.

作者信息

Sing Gary C, Joiner Wilsaan M, Nanayakkara Thrishantha, Brayanov Jordan B, Smith Maurice A

机构信息

Neuromotor Control Lab, Harvard School of Engineering and Applied Sciences, Cambridge, MA 02138, USA.

出版信息

Neuron. 2009 Nov 25;64(4):575-89. doi: 10.1016/j.neuron.2009.10.001.

Abstract

The motor commands required to control voluntary movements under various environmental conditions may be formed by adaptively combining a fixed set of motor primitives. Since this motor output must contend with state-dependent physical dynamics during movement, these primitives are thought to depend on the position and velocity of motion. Using a recently developed "error-clamp" technique, we measured the fine temporal structure of changes in motor output during adaptation. Interestingly, these measurements reveal that motor primitives echo a key feature of the neural coding of limb motion-correlated tuning to position and velocity. We show that this correlated tuning explains why initial stages of motor learning are often rapid and stereotyped, whereas later stages are slower and stimulus specific. With our new understanding of these primitives, we design dynamic environments that are intrinsically the easiest or most difficult to learn, suggesting a theoretical basis for the rational design of improved procedures for motor training and rehabilitation.

摘要

在各种环境条件下控制随意运动所需的运动指令,可能是通过对一组固定的运动基元进行适应性组合而形成的。由于这种运动输出在运动过程中必须应对与状态相关的物理动力学,所以这些基元被认为依赖于运动的位置和速度。我们使用最近开发的“误差钳制”技术,测量了适应过程中运动输出变化的精细时间结构。有趣的是,这些测量结果表明,运动基元反映了肢体运动相关调谐对位置和速度的神经编码的一个关键特征。我们表明,这种相关调谐解释了为什么运动学习的初始阶段通常快速且刻板,而后期阶段则较慢且具有刺激特异性。基于对这些基元的新理解,我们设计了本质上最容易或最难学习的动态环境,这为合理设计改进的运动训练和康复程序提供了理论基础。

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