Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data.

Kapralov N, Jamshidi Idaji M, Stephani T, Studenova A, Vidaurre C, Ros T, Villringer A, Nikulin V

Open source

DOI
10.1088/1741-2552/ad7a24
Published
2024 Oct 8
Container
Journal of neural engineering
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1088/1741-2552/ad7a24,
  title = {Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data.},
  author = {Kapralov N and Jamshidi Idaji M and Stephani T and Studenova A and Vidaurre C and Ros T and Villringer A and Nikulin V},
  year = {2024},
  journal = {Journal of neural engineering},
  doi = {10.1088/1741-2552/ad7a24},
  url = {https://doi.org/10.1088/1741-2552/ad7a24}
}

RIS

TY  - JOUR
TI  - Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data.
AU  - Kapralov N
AU  - Jamshidi Idaji M
AU  - Stephani T
AU  - Studenova A
AU  - Vidaurre C
AU  - Ros T
AU  - Villringer A
AU  - Nikulin V
PY  - 2024
JO  - Journal of neural engineering
DO  - 10.1088/1741-2552/ad7a24
UR  - https://doi.org/10.1088/1741-2552/ad7a24
ER  - 

APA

N, K., M, J. I., T, S., A, S., C, V., T, R., A, V., & V, N. (2024). Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/ad7a24

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