从内脑电图中生成文本和图像,使用文本和图像嵌入空间来生成文本和图像
Yuya Ikegawa1, Ryohei Fukuma1,2, Hidenori Sugano3
1Institute for Advanced Co-Creation Studies, Osaka University, Suita, Japan.
Journal of neural engineering
|April 22, 2024
概括
这项研究引入了一种使用视觉皮层信号生成文本和图像的新脑电脑接口 (BCI),为运动皮层退化患者提供了替代方案.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 生物医学工程 生物医学工程
背景情况:
- 侵入性脑电脑接口 (BCI) 为的人提供通信解决方案.
- 目前的BCI通常依赖于运动皮质信号,这些信号在像ALS这样的疾病中会降解.
- 对于患有运动皮层退行性疾病的患者,需要采用另一种BCI方法.
研究的目的:
- 开发和评估一种新的BCI系统,从iEEG信号中解读视觉语义信息.
- 使用多式嵌入方式,从视觉皮层活动中生成文本和图像.
- 为患有影响运动皮质的疾病的患者提供一种交流替代方案.
主要方法:
- 利用对比的语言图像预训练 (CLIP) 嵌入来表示视觉刺激.
- 记录了来自17名患者尾和皮层的EEG信号.
- 在图像查看过程中,从高马功率iEEG信号中推断的CLIP图像向量.
主要成果:
- 使用CLIPCAP,从推断的CLIP向量生成文本,准确度高于偶然性.
- 从生成的文本中创建图像,使用稳定扩散具有显著的准确性.
- 从视觉皮层的iEEG信号中成功地证明了多式联络的产生.
结论:
- 从iEEG通过CLIP嵌入生成文本和图像是可行的.
- 这种方法为严重的患者提供了一个有前途的替代通信方法.
- 开发的BCI系统增强了特定神经疾病患者的沟通潜力.
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