NEURAL CALCULATION IN SENSORIMOTOR CONTROL

将研究人体姿势的感觉运动控制。 从理论上讲，与实验研究和 临床项目。拟议的研究继续进行以下方面的探索 神经系统通过储存、习惯性地控制姿势的简单方式 回复，使用很少的在线计算。该提案分为以下几部分 三大工程： 第一项研究将研究肌肉爆裂控制的姿势力学。 模式或协同效应。我们已经描述了它的结构和力学 这些协同效应及其混合物在两种准静态情况下 尺寸。这项研究将把分析扩展到非静态情况和 第三个维度，允许将分析应用于更多患者 群体和更自然的情况。数学方法将允许一个 推广到其他运动，如手臂和头部运动，以及 可以控制的运动轨迹类型的陈述 肌肉爆裂模式的类似组合。 第二项研究将描述方位感官的协调， 控制动作的视觉的、前庭的和触觉的感官 来自三种不同方位感官的反馈必须适当 混合在一起以提供准确的运动表示。我们会 调查正常受试者和研究对象组是如何做到这一点的 前庭患者，以及前庭患者的感觉障碍如何影响 他们的行动。 第三个项目是找出组合运动传感器控制的约束条件。 一种既允许正确解释感觉输入又允许正确解释 适当的肌力与身体力学的机械相互作用 支撑面。这个项目将使用前两个项目的结果。

The sensorimotor control of human posture will be investigated theoretically, in close collaboration with experimental studies and clinical programs. The proposed studies continue ongoing explorations of simple ways the nervous system can control posture by stored, habitual responses, using little on-line calculation. This proposal is divided into three major projects: The first study will be on postural mechanics as controlled by muscle burst patterns or synergies. We have described the structure and mechanics of these synergies and their mixtures in the quasi-static case for two dimensions. This study will expand the analysis to non-static cases and to a third dimension, allowing the analysis to be applied to more patient groups and more natural situations. The mathematical approach will allow a generalization to other movements, such as arm and head movements, and a statement of the types of movement trajectories that can be controlled by analogous combinations of muscle burst patterns. The second study will describe the coordination of orientation senses, visual, vestibular, and tactile, in controlling movements. Sensory feedback from the three different orientation senses must be properly blended to give an accurate representation of movement. We will investigate how this is done by both normal subjects and groups of vestibular patients, and how sensory deficits in vestibular patients affect their movements. The third project is to find constraints on a combined sensorimotor control system which allows both proper interpretation of sensory inputs and appropriate mechanical interaction of muscle forces with body mechanics and the support surface. This project will use the results of the previous two.