Overcoming subject variability in P300 decoding based on quantification by deep learning

Maohua Liu, Fred R. Beyette

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DOI: 10.3389/fnins.2026.1940267
Published: 2026-10-22
Container: Frontiers in Neuroscience
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2026.1940267,
  title = {Overcoming subject variability in P300 decoding based on quantification by deep learning},
  author = {Maohua Liu and Fred R. Beyette},
  year = {2026},
  journal = {Frontiers in Neuroscience},
  doi = {10.3389/fnins.2026.1940267},
  url = {https://doi.org/10.3389/fnins.2026.1940267}
}

RIS

TY  - JOUR
TI  - Overcoming subject variability in P300 decoding based on quantification by deep learning
AU  - Maohua Liu
AU  - Fred R. Beyette
PY  - 2026
JO  - Frontiers in Neuroscience
DO  - 10.3389/fnins.2026.1940267
UR  - https://doi.org/10.3389/fnins.2026.1940267
ER  -

APA

Liu, M., & Beyette, F. R. (2026). Overcoming subject variability in P300 decoding based on quantification by deep learning. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2026.1940267

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crossref · retrieved 2026-11-07T03:09:24.581Z