STRUCTURE OF HUMAN POSTURE CONTROL

这项研究的长期目标是建立一个理论 理解姿势中感觉运动控制的基础，包括 行为及其基本生理学。当下的焦点 应用将是神经活动的关系在 从小脑到姿势控制。这些方法将完全是 理论上，研究的一个主要目标将是 建立描述姿势控制的数学结构 系统。这项工作将在以下机构的合作下完成 实验生理学家。 为了实现这一目标，减少 将确定传感器马达控制参数的数量，给定 一系列任务要求，如维护稳定。然后是 战略的组成部分将被表示为 刺激和运动指令的类别。由于刺激的类别 也可以等同于一组神经元、 将识别出其活动表达相同的神经元 刺激类别和运动指令的等价性。 具体地说，小脑的神经活动模式将 使用接受场数据来构建，以便最终 确定活动细胞群在多大程度上 小脑是直接控制姿势的。一位数学家 将开发一种结构来描述这两个位置的姿势控制 行为和神经活动水平。 这项研究的结果将澄清 姿势行为及其基本生理学，并将提供 更合理的平衡诊疗依据 精神错乱。

The long term goal of this research is to establish a theoretical basis for understanding sensorimotor control in posture, including behavior and its underlying physiology. A focus in the present application will be the relationship of neural activity in the cerebellum to postural control. The methods will be entirely theoretical, and a major objective of the research will be to develop a mathematical structure describing the postural control system. The work will be accomplished with the collaboration of experimental physiologists. To achieve this goal, components of strategies that reduce the number of sensorimotor control parameters will be identified, given a set of task requirements such as maintaining stability. Then the components of strategies will be represented as relations between classes of stimuli and motor commands. Since classes of stimuli can also be equivalent for a population of neurons, populations of neurons will be identified whose activity expresses the same equivalence of classes of stimuli and motor commands. Specifically, patterns of neural activity in the cerebellum will be constructed using receptive field data, in order ultimately to determine to what extent populations of active cells in the cerebellum are directly controlling posture. A mathematical structure will be developed to describe postural control at both the behavioral and the neural-activity levels. Results of this research will clarify the unified nature of postural behavior and its underlying physiology, and will provide a more rational basis for diagnosis and treatment of balance disorders.