Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models
- DOI
- 10.48550/arxiv.2605.29754
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2605.29754,
title = {Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models},
author = {Yuce, Ayse Betul and Stober, Sebastian},
year = {2026},
doi = {10.48550/arxiv.2605.29754},
url = {https://doi.org/10.48550/arxiv.2605.29754}
}RIS
TY - JOUR TI - Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models AU - Yuce, Ayse Betul AU - Stober, Sebastian PY - 2026 DO - 10.48550/arxiv.2605.29754 UR - https://doi.org/10.48550/arxiv.2605.29754 ER -
APA
Betul, Y. A., & Sebastian, S. (2026). Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models. https://doi.org/10.48550/arxiv.2605.29754
Source records
- datacite · retrieved 2026-09-26T04:26:09.311Z