An innovative brain-inspired neuronal competition model for electroencephalography emotion recognition.
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| Title: | An innovative brain-inspired neuronal competition model for electroencephalography emotion recognition. |
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| Authors: | Li J; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China.; Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei, China.; ZUMRI-LYG Joint Laboratory, Zhuhai UM Science and Technology Research Institute, Zhuhai, China., Feng G; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China., Lin W; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China., Hu X; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China., Wang L; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China., Lin K; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China., Yuan J; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China., Zhang S; School of Artificial Intelligence, Neijiang Normal University, Neijiang, China.; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China., Zeng X; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou, China., Chen R; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou, China. |
| Source: | Digital health [Digit Health] 2025 Nov 03; Vol. 11, pp. 20552076251393279. Date of Electronic Publication: 2025 Nov 03 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2055-2076 |
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| DOI: | 10.1177/20552076251393279 |
