{
  "Name": "Sosulski et al. 2019 — Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints",
  "BIDSVersion": "1.9.0",
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  "DatasetType": "derivative",
  "License": "CC-BY-SA-4.0",
  "Authors": [
    "Jan Sosulski",
    "David Hübner",
    "Aaron Klein",
    "Michael Tangermann"
  ],
  "Acknowledgements": "Experiments were performed according to the Declaration of Helsinki.",
  "Funding": [
    "Cluster of Excellence BrainLinks-BrainTools funded by the German Research Foundation (DFG) [grant number EXC 1086]",
    "DFG project SuitAble [grant number TA 1258/1-1]",
    "state of Baden-Württemberg, Germany, through bwHPC and the German Research Foundation (DFG) [grant number INST 39/963-1 FUGG]"
  ],
  "EthicsApprovals": [
    "Approved by the ethics committee of the university medical center of Freiburg"
  ],
  "ReferencesAndLinks": [
    "https://freidok.uni-freiburg.de/data/154576"
  ],
  "DatasetDOI": "10.82901/nemar.nm000266",
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.5.0"
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  "SourceDatasets": [
    {
      "DOI": "10.6094/UNIFR/154576",
      "URL": "https://freidok.uni-freiburg.de/data/154576"
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    {
      "DOI": "doi:10.48550/arXiv.2109.06011"
    }
  ],
  "Keywords": [
    "Bayesian optimization",
    "individual experimental parameters",
    "brain-computer interfaces",
    "learning from small data",
    "auditory event-related potentials",
    "closed-loop parameter optimization"
  ],
  "PublicationYear": 2021,
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}