Sensory mechanisms in arm motor control

每次你端起一杯咖啡的方式都不一样，但几乎不会洒出来。这种对比引出了感觉运动神经科学的一个基本问题：为什么这种不一致的运动总是如此成功？最近，一个有影响力的运动控制理论被称为“最优反馈控制”，为解决这个基本问题提供了一个新的视角。也就是说，当面对多个噪声源时，最好的策略是只有当可变性影响到任务的全局目标时才纠正它。在这项授权中，我提出了三种不同的命题测试，称为最小干预原则，以及有助于探索其潜在神经机制的相关研究。作为一个早期的职业研究者，这项工作是我长期研究计划的重要的第一步，旨在揭示自然伸手、抓取和物体操纵的神经基础。该研究项目的结果将引起感觉运动神经科学家的广泛兴趣，并可能有利于正在进行的脑机接口、类人机器人和健康和疾病运动表现方面的工作。**

You lift a cup of coffee differently every time but almost never spill. This contrast leads to a fundamental question in sensorimotor neuroscience: why are such inconsistent movements so consistently successful? A recent and influential theory of motor control called "optimal feedback control" provides a novel perspective from which to address this fundamental question. That is, when faced with multiple sources of noise the best strategy is to correct variability only when it impacts the global goal of the task. In this grant, I propose three different tests of this proposition, termed the minimum intervention principle, and related studies that help probe its underlying neural mechanisms. As an early career researcher, this work represents an important first step in my long-term research program, which aims to reveal the neural basis of naturalistic reaching, grasping and object manipulation. The results of this research program will be of broad interest to sensorimotor neuroscientists and may benefit ongoing work into brain-machine interfaces, humanoid robots, and motor performance in both health and disease.  **