Author:
Nakagome Sho,Craik Alexander,Ravindran Akshay Sujatha,He Yongtian,Cruz-Garza Jesus G.,Contreras-Vidal José L.
Publisher
Springer Nature Singapore
Reference117 articles.
1. Vaughan, T.M., et al.: Brain-computer interface technology: a review of the Second International Meeting (2003)
2. Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., Arnaldi, B.: A review of classification algorithms for EEG-based brain–computer interfaces. J. Neural Eng. 4(2), R1 (2007)
3. Yannick, R., Hubert, B., Isabela, A., Alexandre, G., Jocelyn, F., et al.: Deep learning-based electroencephalography analysis: a systematic review. arXiv preprint arXiv:1901.05498 (2019). https://github.com/hubertjb/dleeg-review
4. Sejnowski, T.J.: The unreasonable effectiveness of deep learning in artificial intelligence. In: Proceedings of the National Academy of Sciences (2020)
5. Craik, A., He, Y., Contreras-Vidal, J.L.P.: Deep learning for Electroencephalogram (EEG) classification tasks: a review. J. Neural Eng. 16, 031001 (2019)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献