机译:基于关注的并行多尺度卷积神经网络,用于视觉诱发电位EEG分类
Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China|Minist Educ Tianjin 300350 Peoples R China;
Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;
Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;
Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;
Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;
City Univ Hong Kong Dept Elect Engn Kowloon Hong Kong Peoples R China;
Convolution; Electroencephalography; Feature extraction; Fatigue; Visualization; Convolutional neural networks; Brain modeling; Attention mechanism; brain-computer interface (BCI); convolutional neural network; fatigue; visual evoked potentials;
机译:紧凑卷积神经网络用于异步稳态视觉诱发电位的分类
机译:时频卷积神经网络用于稳态视觉诱发电位响应的离线分类
机译:结合基于注意力的双向门控递归神经网络和二维卷积神经网络进行文档级情感分类
机译:基于卷积神经网络的稳态视觉诱发电位反应分类比较网络
机译:使用卷积神经网络对脑电信号中癫痫样瞬变进行检测和分类
机译:用于电动机图像EEG分类的并行多尺度过滤器银行卷积神经网络
机译:一种用于动态环境下稳态视觉诱发电位分类的卷积神经网络。
机译:基于混沌预处理和相空间重构的脑电神经网络分类。