Invention Grant
US09050200B2 System and method for brain machine interface (BMI) control using reinforcement learning
有权
使用强化学习的脑机接口（BMI）控制系统和方法
- Patent Title: System and method for brain machine interface (BMI) control using reinforcement learning
- Patent Title (中): 使用强化学习的脑机接口（BMI）控制系统和方法
-
Application No.: US12598217Application Date: 2008-04-25
-
Publication No.: US09050200B2Publication Date: 2015-06-09
- Inventor: John F. Digiovanna , Babak Mahmoudi , Jeremiah D. Mitzelfelt , Justin C. Sanchez , Jose C. Principe
- Applicant: John F. Digiovanna , Babak Mahmoudi , Jeremiah D. Mitzelfelt , Justin C. Sanchez , Jose C. Principe
- Applicant Address: US FL Gainesville
- Assignee: University of Florida Research Foundation, Inc.
- Current Assignee: University of Florida Research Foundation, Inc.
- Current Assignee Address: US FL Gainesville
- Agency: Thomas | Horstemeyer, LLP.
- International Application: PCT/US2008/061549 WO 20080425
- International Announcement: WO2008/137346 WO 20081113
- Main IPC: A61B5/04
- IPC: A61B5/04 ; A61F2/68 ; G05B13/02 ; A61B5/0482 ; A61F2/72 ; G06F3/01 ; G06N3/08
Abstract:
A Brain Machine Interface (BMI) agent (110) 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 (115) to the prosthetic device in accordance with the learning to control the prosthetic device for a targeted behavior.
Public/Granted literature
- US20100137734A1 SYSTEM AND METHOD FOR BRAIN MACHINE INTERFACE (BMI) CONTROL USING REINFORCEMENT LEARNING Public/Granted day:2010-06-03
Information query
