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SYSTEM AND METHOD FOR BRAIN MACHINE INTERFACE (BMI) CONTROL USING REINFORCEMENT LEARNING

机译:基于强化学习的脑机接口控制系统和方法

摘要

A Brain Machine Interface (BMI) agent (1 10) is provided, that when operatively coupled to a subject during a mental task by the subject to control a prosthetic device (130), monitors one or more states (125) of neural activity of the subject, receives feedback associated with a behavior of the prosthetic device responsive to the control, learns a functional mapping between the mental task and the behavior in view of the feedback, and applies at least one control action (1 15) to the prosthetic device in accordance with the learning to control the prosthetic device for a targeted behavior.
机译:提供了一种脑机接口(BMI)代理(1 10),当其在精神任务期间由对象可操作地耦合至对象以控制假体设备(130)时,其监视神经活动的一个或多个状态(125)。受试者,响应于控制而接收与假体设备的行为相关联的反馈,根据反馈学习心理任务与行为之间的功能映射,并将至少一个控制动作(1 15)应用于假体设备根据学习来控制假肢设备的针对性行为。

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