SEDAT: a hybrid tokenizer for large EEG models.

Zulkifal Aziz M, Yue Z, Binwen H, Xiaojun Y

DOI: 10.1088/1741-2552/aea0ba
Published: 2026 Sep 10
Container: Journal of neural engineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/aea0ba,
  title = {SEDAT: a hybrid tokenizer for large EEG models.},
  author = {Zulkifal Aziz M and Yue Z and Binwen H and Xiaojun Y},
  year = {2026},
  journal = {Journal of neural engineering},
  doi = {10.1088/1741-2552/aea0ba},
  url = {https://doi.org/10.1088/1741-2552/aea0ba}
}

RIS

TY  - JOUR
TI  - SEDAT: a hybrid tokenizer for large EEG models.
AU  - Zulkifal Aziz M
AU  - Yue Z
AU  - Binwen H
AU  - Xiaojun Y
PY  - 2026
JO  - Journal of neural engineering
DO  - 10.1088/1741-2552/aea0ba
UR  - https://doi.org/10.1088/1741-2552/aea0ba
ER  -

APA

M, Z. A., Z, Y., H, B., & Y, X. (2026). SEDAT: a hybrid tokenizer for large EEG models.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/aea0ba

Source records

pubmed · retrieved 2026-09-25T06:08:57.280Z