{ "Name": "Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population", "BIDSVersion": "1.9.0", "HEDVersion": "8.4.0", "DatasetType": "derivative", "License": "CC-BY-NC-4.0", "Authors": [ "James R. Stieger", "Stephen A. Engel", "Bin He" ], "Funding": [ "NIH AT009263", "NIH EB021027", "NIH NS096761", "NIH MH114233", "NIH EB029354" ], "EthicsApprovals": [ "University of Minnesota IRB", "Carnegie Mellon University IRB" ], "ReferencesAndLinks": [ "https://doi.org/10.6084/m9.figshare.13123148.v1" ], "DatasetDOI": "10.82901/nemar.nm000339", "GeneratedBy": [ { "CodeURL": "https://github.com/NeuroTechX/moabb", "Name": "moabb", "Description": "Mother of All BCI Benchmarks", "Version": "1.5.0" } ], "SourceDatasets": [ { "DOI": "10.1038/s41597-021-00883-1", "URL": "https://doi.org/10.6084/m9.figshare.13123148.v1" }, { "DOI": "doi:10.1038/s41597-021-00883-1" } ], "Keywords": [ "BCI", "sensorimotor rhythm", "motor imagery", "EEG", "longitudinal", "learning" ], "PublicationYear": 2021, "Version": "1.0.4" }