跨大脑传输高性能皮质内语音和手写BCI
bioRxiv : the preprint server for biology
|February 6, 2026
概括
利用以前的用户数据,称为交叉大脑传输,可显著改善大脑计算机接口 (BCI) 性能,对于新用户的训练数据有限. 这种方法对于推进BCI技术至关重要.
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
- 机器学习 机器学习
背景情况:
- 皮层内脑-计算机接口 (BCI) 解码复杂的运动,如语音和手写.
- 在BCI中的高性能往往需要广泛的用户特定培训数据.
- 减少这种数据负担是临床翻译的关键.
研究的目的:
- 调查"交叉大脑传输"使用以前用户的神经数据来训练新的BCI用户.
- 为了评估语音和手写解码器的跨大脑传输的有效性.
- 为了确定成功的跨大脑传输的关键解码器组件.
主要方法:
- 利用了来自五名BrainGate2参与者的皮质内记录.
- 测试了对一般,不受约束的语音和手写体的跨大脑传输.
- 将转移学习与从头开始的培训进行比较,并使用电极变换数据.
主要成果:
- 当目标用户数据有限 (<200句) 时,跨大脑传输增强了解码.
- 数据集特定的输入层对于有效的跨大脑传输至关重要.
- 传输性能各不相同,有时匹配,有时不及同一个用户的数据.
结论:
- 跨大脑传输是一种可行的方法,可以减少BCI培训数据需求.
- 可训练的输入层对于用户之间成功的跨大脑传输至关重要.
- 这项研究解决了BCI临床翻译的一个主要障碍,并指导了未来的解码器设计.
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