An innovative brain-inspired neuronal competition model for electroencephalography emotion recognition
This study presents a biologically plausible paradigm for EEG emotion recognition, laying the foundation for understanding the neurophysiological basis of brain activity and developing reliable tools for healthcare applications, such as mental health monitoring and depression detection.
Authors
- Rongjun Chen (ORCID: https://orcid.org/0000-0002-3075-460X)
- Jun Yuan (ORCID: https://orcid.org/0000-0002-5918-7960)
- Xianxian Zeng (ORCID: https://orcid.org/0000-0002-3889-4447)
- Leijun Wang
- Kaihan Lin (ORCID: https://orcid.org/0000-0001-6153-3722)
- Shuang Zhang (ORCID: https://orcid.org/0000-0002-7134-0454)
- Xianglei Hu (ORCID: https://orcid.org/0000-0001-9308-3551)
- Jiawen Li (ORCID: https://orcid.org/0000-0002-8586-9535)
- Guanyuan Feng (ORCID: https://orcid.org/0009-0009-9382-4220)
- Weibin Lin
Institutions
- Anhui University (CN)
- University of Electronic Science and Technology of China (CN)
- Neijiang Normal University (CN)
- Guangdong Polytechnic Normal University (CN)
- Zhuhai Institute of Advanced Technology (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251393279
- Citations
- 1
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 2.12