Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI

OBJECTIVE: The conventional single-person brain–computer interface (BCI) systems have some intrinsic deficiencies such as low signal-to-noise ratio, distinct individual differences, and volatile experimental effect. To solve these problems, a centralized steady-state visually evoked potential collab...

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Detalles Bibliográficos
Autores principales: Li, Penghai, Su, Jianxian, Belkacem, Abdelkader Nasreddine, Cheng, Longlong, Chen, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360603/
https://www.ncbi.nlm.nih.gov/pubmed/35958998
http://dx.doi.org/10.3389/fnins.2022.971039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360603/
https://www.ncbi.nlm.nih.gov/pubmed/35958998
http://dx.doi.org/10.3389/fnins.2022.971039

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