运动信号的即时神经控制
Mijail D Serruya1, Nicholas G Hatsopoulos, Liam Paninski
1Department of Neuroscience, Box 1953, Brown University, Providence, Rhode Island 02912, USA. mijail_serruya@brown.edu
Nature
|March 15, 2002
概括
研究人员解码了运动皮层神经元活动,以立即控制人工设备. 这种脑-计算机接口需要最少的训练,为的人提供了新的希望.
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
- 机器人技术 机器人技术 机器人技术
背景情况:
- 运动皮层 (MI) 神经元活动可以信号运动意图.
- 当前的大脑-计算机接口 (BCI) 通常需要广泛的培训或功能有限.
- 以前的方法将控制限制在狭窄的运动范围之内.
研究的目的:
- 开发一种BCI,可以使用最小的运动皮层神经元数据立即控制人工设备.
- 与现有的BCI相比,允许更广泛的移动控制.
- 评估神经控制可行性,以麻的人类.
主要方法:
- 从一只子中记录了少数 (7-30) 个MI神经元的活动.
- 开发了一种解码算法,将神经活动转化为控制信号.
- 测试了系统在14x14度视觉工作空间中控制计算机光标的能力.
主要成果:
- 成功将MI神经元活动解码成可用的控制信号.
- 子可以立即使用解码的信号来移动计算机的光标.
- 该系统展示了控制光标移动到工作空间内的任何位置的控制.
结论:
- 一些MI神经元可以为人工设备提供强大的控制信号.
- 这种解码方法可以实现即时的可用性和广泛的运动曲目.
- 这种方法对麻的人类未来的神经控制系统充满希望.
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