An EEG-based framework for exploring adaptive rhythmic human–machine interaction

Wannes Van Ransbeeck, Zhongju Yuan, Pieter-Jan Maes, Marc Leman, Sarah Verhulst, Dick Botteldooren

Open source

DOI: 10.1088/1741-2552/ae573d
Published: 2026-04-01
Container: Journal of Neural Engineering
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/ae573d,
  title = {An EEG-based framework for exploring adaptive rhythmic human–machine interaction},
  author = {Wannes Van Ransbeeck and Zhongju Yuan and Pieter-Jan Maes and Marc Leman and Sarah Verhulst and Dick Botteldooren},
  year = {2026},
  journal = {Journal of Neural Engineering},
  doi = {10.1088/1741-2552/ae573d},
  url = {https://doi.org/10.1088/1741-2552/ae573d}
}

RIS

TY  - JOUR
TI  - An EEG-based framework for exploring adaptive rhythmic human–machine interaction
AU  - Wannes Van Ransbeeck
AU  - Zhongju Yuan
AU  - Pieter-Jan Maes
AU  - Marc Leman
AU  - Sarah Verhulst
AU  - Dick Botteldooren
PY  - 2026
JO  - Journal of Neural Engineering
DO  - 10.1088/1741-2552/ae573d
UR  - https://doi.org/10.1088/1741-2552/ae573d
ER  -

APA

Ransbeeck, W. V., Yuan, Z., Maes, P., Leman, M., Verhulst, S., & Botteldooren, D. (2026). An EEG-based framework for exploring adaptive rhythmic human–machine interaction. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ae573d

Source records

crossref · retrieved 2026-09-27T03:44:11.975Z