{ "Name": "Kojima et al. 2024 (Dataset B) — Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing", "BIDSVersion": "1.9.0", "HEDVersion": "8.4.0", "DatasetType": "derivative", "License": "CC0-1.0", "Authors": [ "Simon Kojima", "Shin'ichiro Kanoh" ], "Funding": [ "JSPS KAKENHI (Grant Number JP23K11811 to Shin'ichiro Kanoh)" ], "EthicsApprovals": [ "Review Board on Bioengineering Research Ethics of the Shibaura Institute of Technology" ], "ReferencesAndLinks": [ "https://doi.org/10.7910/DVN/1UJDV6", "10.3389/fnhum.2024.1461960" ], "GeneratedBy": [ { "CodeURL": "https://github.com/NeuroTechX/moabb", "Name": "moabb", "Description": "Mother of All BCI Benchmarks", "Version": "1.5.0" } ], "SourceDatasets": [ { "DOI": "10.7910/DVN/1UJDV6", "URL": "https://doi.org/10.7910/DVN/1UJDV6" } ], "Keywords": [ "brain-computer interface", "electroencephalogram", "event-related potential", "auditory scene analysis", "stream segregation", "machine learning", "NASA-TLX" ], "PublicationYear": 2024, "Version": "1.0.4", "DatasetDOI": "10.82901/nemar.nm000207" }