Learning temporal information for brain-computer interface using convolutional neural networks
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...
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Main Authors: | Sakhavi, Siavash, Guan, Cuntai, Yan, Shuicheng |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/87699 http://hdl.handle.net/10220/45497 |
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Institution: | Nanyang Technological University |
Language: | English |
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