An EEG-based framework for exploring adaptive rhythmic human–machine interaction
- Author
- Wannes Van Ransbeeck (UGent) , Zhongju Yuan (UGent) , Pieter-Jan Maes, Marc Leman (UGent) , Sarah Verhulst (UGent) and Dick Botteldooren (UGent)
- Organization
- Project
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- Flanders Artificial Intelligence Research program (FAIR) – second cycle - 2025
- Closed-loop music biofeedback for pervasive effect on humans, grounded in knowledge on embodiment and prediction
- WithMe: making human-artificial intelligence interactions more entraining and engaging through biomonitoring of brain function
- Modeling how sensorineural hearing loss affects auditory processing and physiological markers of hearing
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01KRGC8EHTPH9M577W72RTJH6W
- MLA
- Van Ransbeeck, Wannes, et al. “An EEG-Based Framework for Exploring Adaptive Rhythmic Human–Machine Interaction.” JOURNAL OF NEURAL ENGINEERING, vol. 23, no. 2, 2026, doi:10.1088/1741-2552/ae573d.
- APA
- Van Ransbeeck, W., Yuan, Z., Maes, P.-J., Leman, M., Verhulst, S., & Botteldooren, D. (2026). An EEG-based framework for exploring adaptive rhythmic human–machine interaction. JOURNAL OF NEURAL ENGINEERING, 23(2). https://doi.org/10.1088/1741-2552/ae573d
- Chicago author-date
- Van Ransbeeck, Wannes, Zhongju Yuan, Pieter-Jan Maes, Marc Leman, Sarah Verhulst, and Dick Botteldooren. 2026. “An EEG-Based Framework for Exploring Adaptive Rhythmic Human–Machine Interaction.” JOURNAL OF NEURAL ENGINEERING 23 (2). https://doi.org/10.1088/1741-2552/ae573d.
- Chicago author-date (all authors)
- Van Ransbeeck, Wannes, Zhongju Yuan, Pieter-Jan Maes, Marc Leman, Sarah Verhulst, and Dick Botteldooren. 2026. “An EEG-Based Framework for Exploring Adaptive Rhythmic Human–Machine Interaction.” JOURNAL OF NEURAL ENGINEERING 23 (2). doi:10.1088/1741-2552/ae573d.
- Vancouver
- 1.Van Ransbeeck W, Yuan Z, Maes P-J, Leman M, Verhulst S, Botteldooren D. An EEG-based framework for exploring adaptive rhythmic human–machine interaction. JOURNAL OF NEURAL ENGINEERING. 2026;23(2).
- IEEE
- [1]W. Van Ransbeeck, Z. Yuan, P.-J. Maes, M. Leman, S. Verhulst, and D. Botteldooren, “An EEG-based framework for exploring adaptive rhythmic human–machine interaction,” JOURNAL OF NEURAL ENGINEERING, vol. 23, no. 2, 2026.
@article{01KRGC8EHTPH9M577W72RTJH6W,
articleno = {{026034}},
author = {{Van Ransbeeck, Wannes and Yuan, Zhongju and Maes, Pieter-Jan and Leman, Marc and Verhulst, Sarah and Botteldooren, Dick}},
issn = {{1741-2560}},
journal = {{JOURNAL OF NEURAL ENGINEERING}},
language = {{eng}},
number = {{2}},
pages = {{20}},
title = {{An EEG-based framework for exploring adaptive rhythmic human–machine interaction}},
url = {{http://doi.org/10.1088/1741-2552/ae573d}},
volume = {{23}},
year = {{2026}},
}
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