Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease

Syeda Shamaila Zareen, Nada Alzaben, Usman Ahmad, Talha Mahboob Alam, Asaad Algarni, Junsong Wang

Open source

DOI: 10.3389/fninf.2026.1899573
Published: 2026-08-27
Container: Frontiers in Neuroinformatics
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fninf.2026.1899573,
  title = {Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease},
  author = {Syeda Shamaila Zareen and Nada Alzaben and Usman Ahmad and Talha Mahboob Alam and Asaad Algarni and Junsong Wang},
  year = {2026},
  journal = {Frontiers in Neuroinformatics},
  doi = {10.3389/fninf.2026.1899573},
  url = {https://doi.org/10.3389/fninf.2026.1899573}
}

RIS

TY  - JOUR
TI  - Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease
AU  - Syeda Shamaila Zareen
AU  - Nada Alzaben
AU  - Usman Ahmad
AU  - Talha Mahboob Alam
AU  - Asaad Algarni
AU  - Junsong Wang
PY  - 2026
JO  - Frontiers in Neuroinformatics
DO  - 10.3389/fninf.2026.1899573
UR  - https://doi.org/10.3389/fninf.2026.1899573
ER  -

APA

Zareen, S. S., Alzaben, N., Ahmad, U., Alam, T. M., Algarni, A., & Wang, J. (2026). Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease. Frontiers in Neuroinformatics. https://doi.org/10.3389/fninf.2026.1899573

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crossref · retrieved 2026-09-25T08:45:50.889Z