{
  "Name": "Mixture of LLP and EM for a visual matrix speller (ERP) dataset from",
  "BIDSVersion": "1.9.0",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "CC-BY-4.0",
  "Authors": [
    "David Hübner",
    "Thibault Verhoeven",
    "Klaus-Robert Müller",
    "Pieter-Jan Kindermans",
    "Michael Tangermann"
  ],
  "Funding": [
    "BrainLinks-BrainTools Cluster of Excellence funded by the German Research Foundation (DFG), grant number EXC 1086",
    "bwHPC initiative, grant INST 39/963-1 FUGG",
    "European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement NO 657679",
    "Special Research Fund of Ghent University",
    "DFG (DFG SPP 1527, MU 987/14-1)",
    "Federal Ministry for Education and Research (BMBF No. 2017-0-00451)",
    "Brain Korea 21 Plus Program by the Institute for Information & Communications Technology Promotion (IITP) grant (1IS14013A) funded by the Korean government"
  ],
  "EthicsApprovals": [
    "University Medical Center Freiburg ethics committee"
  ],
  "ReferencesAndLinks": [
    "https://zenodo.org/record/5831879",
    "10.1109/MCI.2018.2807039"
  ],
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.5.0"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "10.1109/MCI.2018.2807039",
      "URL": "https://zenodo.org/record/5831879"
    }
  ],
  "Keywords": [
    "unsupervised learning",
    "brain-computer interface",
    "event-related potentials",
    "P300 speller",
    "expectation-maximization",
    "learning from label proportions",
    "MIX method",
    "EEG"
  ],
  "PublicationYear": 2018,
  "DatasetDOI": "10.82901/nemar.nm000195",
  "Version": "1.0.2"
}