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Tutorial on multimodal neuroimaging for brain-computer interfacing

机译:用于脑机接口的多模态神经成像教程

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摘要

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.
机译:近年来,神经科学和BCI社区对多峰技术越来越感兴趣。在此摘要中,将回顾多模态成像的两个方面。首先,多个受试者的录音如何帮助找到独立于受试者的BCI分类器;其次,多模式神经影像学方法(即EEG和NIRS组合测量)如何帮助增强和增强BCI性能。

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