脑机接口的多模态神经成像教程

S. Fazli, K. Müller, Seong-Whan Lee, B. Blankertz
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摘要

近年来,神经科学和脑机接口社区对多模态技术的兴趣日益浓厚。本文将对多模态成像的两个方面进行综述。首先,多受试者的记录如何帮助寻找与受试者无关的脑机接口分类器,其次,多模态神经成像方法,即脑电图和近红外测量相结合,如何帮助增强和鲁棒脑机接口性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tutorial on multimodal neuroimaging for brain-computer interfacing
Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.
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