Attention model of EEG signals based on reinforcement learning
In the field of EEG signal processing, attention models that combine reinforcement learning principles can focus on key features, automatically filter out noise and redundant data, and improve the accuracy of signal decoding.
Authors
- Xianlun Tang (ORCID: https://orcid.org/0000-0002-9174-7366)
- Mengzhou Wang
- Wei Zhang (ORCID: https://orcid.org/0000-0003-3442-7697)
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- Chongqing University of Education (CN)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2024-11-15
- DOI
- https://doi.org/10.3389/fnhum.2024.1442398
- Citations
- 9
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 3.08
Funders
- National Natural Science Foundation of China