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利用CogRepLKNet结合EEG-fMRI技术探索认知工作负荷的识别方法
由于难以建模脑电图(EEG)和功能性磁共振成像(fMRI)数据之间的跨模态关系,准确的多模态认知工作负荷识别(CWR)仍然具有挑战性。此外,这些生理信号的固有异质性——每种信号都捕捉不同的神经特征——使得统一的特征提取变得复杂。为了解决这个问题 ...
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