对于神经假肢的认知控制信号
S Musallam1, B D Corneil, B Greger
1Division of Biology, California Institute of Technology, Mail Code 216-76, Pasadena, CA 91125, USA.
Science (New York, N.Y.)
|July 13, 2004
概括
研究人员从子大脑信号中解码了运动目标和奖励值,以控制计算机光标. 神经假肢的这一进步可以帮助患者操作设备并监控他们的偏好.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 大脑与计算机的接口
背景情况:
- 神经假肢的目的是通过解码大脑信号来恢复的个体的功能.
- 目前的研究重点是解码运动皮质神经元活动以控制手的轨迹.
研究的目的:
- 来解码来自大脑的更高层次的运动目标信号.
- 调查与奖励相关的预期价值信号的同时解码.
- 评估使用这些解码信号来控制外部设备而无需物理操作的可行性.
主要方法:
- 来自三个子的神经信号的解码与运动目标有关.
- 使用解码信号来控制计算机的光标.
- 同时解码预期值信号 (流体偏好,奖励大小/概率).
主要成果:
- 成功解码了更高层次的运动目标信号.
- 在没有动物行为的情况下展示了光标控制,性能在几周内得到改善.
- 同时解码预期值信号与目标信号一起.
结论:
- 解码的目标信号可以操作计算机,机器人和用于神经假肢应用的车辆.
- 解码的预期值信号可以监控患者的偏好和动机.
- 这种方法为增强神经假肢能力提供了一个有希望的途径.
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