Name
Abstract | ||
|---|---|---|
Building a brain-computer fusion system that would integrate biological intelligence and machine intelligence became a research topic of great concern. Recent research has proved that human brain activity can be decoded from neurological data. Meanwhile, deep learning has become an effective way to solve practical problems. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2019.101730 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Brain-computer fusion,Deep learning,EEG,Brain decoding | Normalization (statistics),Pattern recognition,Brain activity and meditation,Human brain,Artificial intelligence,Deep learning,Decoding methods,Artificial neural network,Electroencephalography,Visual perception,Mathematics | Journal |
Volume | ISSN | Citations |
56 | 1746-8094 | 2 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Zheng | 1 | 3 | 1.04 |
| Wanzhong Chen | 2 | 2 | 0.35 |
| Mingyang Li | 3 | 3 | 0.71 |
| Tao Zhang | 4 | 220 | 69.03 |
| Yang You | 5 | 4 | 2.08 |
| Yun Jiang | 6 | 4 | 2.76 |