Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces

Low transfer rates are a major bottleneck for brain–computer interfaces based on electroencephalography (EEG). This problem has led to the development of more robust and accurate classifiers. In this study, we investigated the performance of variational quantum, quantum-enhanced support vector, and...

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Detalles Bibliográficos
Autores principales: Cattan, Grégoire H., Quemy, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954540/
https://www.ncbi.nlm.nih.gov/pubmed/36831846
http://dx.doi.org/10.3390/brainsci13020303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954540/
https://www.ncbi.nlm.nih.gov/pubmed/36831846
http://dx.doi.org/10.3390/brainsci13020303

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