{
  "Name": "High-gamma dataset described in Schirrmeister et al. 2017",
  "BIDSVersion": "1.9.0",
  "Version": "1.0.3",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "CC-BY-4.0",
  "Authors": [
    "Robin Tibor Schirrmeister",
    "Jost Tobias Springenberg",
    "Lukas Dominique Josef Fiederer",
    "Martin Glasstetter",
    "Katharina Eggensperger",
    "Michael Tangermann",
    "Frank Hutter",
    "Wolfram Burgard",
    "Tonio Ball"
  ],
  "Acknowledgements": "Funded by BrainLinks-BrainTools Cluster of Excellence (DFG, EXC1086) and the Federal Ministry of Education and Research (BMBF, Motor-BIC 13GW0053D).",
  "HowToAcknowledge": "Please cite: Schirrmeister et al. (2017). Deep learning with convolutional neural networks for EEG decoding and visualization. Human Brain Mapping, 38(11), 5391-5420. https://doi.org/10.1002/hbm.23730",
  "Funding": [
    "BrainLinks-BrainTools Cluster of Excellence (DFG) EXC1086",
    "Federal Ministry of Education and Research (BMBF) Motor-BIC 13GW0053D"
  ],
  "EthicsApprovals": [
    "Approved by the ethical committee of the University of Freiburg"
  ],
  "ReferencesAndLinks": [
    "https://web.gin.g-node.org/robintibor/high-gamma-dataset/"
  ],
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.5.0"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "10.1002/hbm.23730",
      "URL": "https://web.gin.g-node.org/robintibor/high-gamma-dataset/"
    }
  ],
  "Keywords": [
    "electroencephalography",
    "EEG analysis",
    "machine learning",
    "end-to-end learning",
    "brain-machine interface",
    "brain-computer interface",
    "model interpretability",
    "brain mapping"
  ],
  "PublicationYear": 2017,
  "DatasetDOI": "10.82901/nemar.nm000172"
}