Sensory mechanisms in arm motor control

你每次端起一杯咖啡的方式都不一样，但几乎从不洒出来。这种对比引出了感觉运动神经科学中的一个基本问题：为什么这种不一致的运动如此一致地成功？最近一个有影响力的运动控制理论，称为“最优反馈控制”，提供了一个新的视角来解决这个基本问题。也就是说，当面临多个噪声源时，最佳策略是仅在影响任务的全局目标时才纠正可变性。在本研究中，我提出了三种不同的测试方法，称为最小干预原则，以及相关的研究，以帮助探索其潜在的神经机制。作为一名早期职业研究者，这项工作代表了我长期研究计划的重要第一步，该计划旨在揭示自然主义的接触，抓握和物体操纵的神经基础。这项研究计划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，人形机器人和健康和疾病中的运动性能的工作。 **

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.  **