Recognition of brain activities via graph-based long short-term memory-convolutional neural network
It was concluded that the GLCNet enhanced the model's adaptability in handling individual variability with robust performance. This would contribute to the exploration of brain activates in neuroscience.
Authors
- Zezhou Hao (ORCID: https://orcid.org/0000-0001-5546-4783)
- Shi Cheng (ORCID: https://orcid.org/0000-0002-5129-995X)
- Xufeng Yao (ORCID: https://orcid.org/0000-0003-2415-4488)
- Yanling Yang
- Liang Zhou
- Helong Zhao
Institutions
- University of Shanghai for Science and Technology (CN)
- Jiading District Central Hospital (CN)
- Shanghai University of Medicine and Health Sciences (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-03-24
- DOI
- https://doi.org/10.3389/fnins.2025.1546559
- Citations
- 3
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 4.29