Learning joint space–time–frequency features for EEG decoding on small labeled data

• Published in: Neural networks Vol. 114; pp. 67 - 77
• Main Authors: Zhao, Dongye, Tang, Fengzhen, Si, Bailu, Feng, Xisheng
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.06.2019
• Subjects: Brain–computer interfaces; Convolutional neural network; Joint space–time–frequency feature learning; Small labeled data; Subject-to-subject weight transfer; Small labeled data; Joint space–time–frequency feature learning; Brain–computer interfaces; Convolutional neural network; Subject-to-subject weight transfer

Brain–computer interfaces (BCIs), which control external equipment using cerebral activity, have received considerable attention recently. Translating brain activities measured by electroencephalography (EEG) into correct control commands is a critical problem in this field. Most existing EEG decodi...