Learning temporal information for brain-computer interface using convolutional neural networks

• Main Authors: Sakhavi, Siavash, Guan, Cuntai, Yan, Shuicheng
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Brain-computer Interface (BCI); Convolutional Neural Network (CNN)
• Online Access: https://hdl.handle.net/10356/87699; http://hdl.handle.net/10220/45497
• Institution: Nanyang Technological University

Deep learning (DL) methods and architectures have been the state-of-the-art classification algorithms for computer vision and natural language processing problems. However, the successful application of these methods in motor imagery (MI) brain-computer interfaces (BCIs), in order to boost classific...