{
  "Name": "Nakanishi2015 – SSVEP Nakanishi 2015 dataset",
  "BIDSVersion": "1.9.0",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "Unknown",
  "Authors": [
    "Masaki Nakanishi",
    "Yijun Wang",
    "Yu-Te Wang",
    "Tzyy-Ping Jung"
  ],
  "Funding": [
    "Swartz Foundation gift fund",
    "U.S. Office of Naval Research (N00014-08-1215)",
    "Army Research Office (W911NF-09-1-0510)",
    "Army Research Laboratory (W911NF-10-2-0022)",
    "DARPA (USDI D11PC20183)",
    "UC Proof of Concept Grant Award (269228)",
    "NIH Grant (1R21EY025056-01)",
    "Recruitment Program for Young Professionals"
  ],
  "EthicsApprovals": [
    "Human Research Protections Program of the University of California San Diego"
  ],
  "ReferencesAndLinks": [
    "https://github.com/mnakanishi/12JFPM_SSVEP/raw/master/data/"
  ],
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.4.3"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "10.1371/journal.pone.0140703",
      "URL": "https://github.com/mnakanishi/12JFPM_SSVEP/raw/master/data/"
    }
  ],
  "Keywords": [
    "SSVEP",
    "BCI",
    "CCA",
    "canonical correlation analysis",
    "brain-computer interface",
    "steady-state visual evoked potentials"
  ],
  "PublicationYear": 2015,
  "ExperimentName": "Nakanishi2015",
  "Description": "SSVEP Nakanishi 2015 dataset.\n\n\nDataset summary:\n\n#Subj      9\n#Chan      8\n#Classes     12\n#Trials / class     15\nTrials length 4.15 s\nFreq 256 Hz\n#Sessions      1\n\n\nParticipants:\n\n- Population: healthy\n- Age: 28 years\n- BCI experience: not specified\n\n\nEquipment:\n\n- Amplifier: Biosemi ActiveTwo\n- Electrodes: EEG\n- Montage: standard_1020\n- Reference: CMS/DRL\n\n\nPreprocessing:\n\n- Bandpass filter: 6-80 Hz\n- Steps: downsampling, bandpass filtering\n- Notes: Zero-phase forward and reverse IIR filtering was implemented using the filtfilt() function in MATLAB. Data epochs were extracted with a 135-ms latency delay considering the visual system delay.\n\n\nData Access:\n\n- DOI: 10.1371/journal.pone.0140703\n- Data URL: https://github.com/mnakanishi/12JFPM_SSVEP/raw/master/data/\n- Repository: Github\n\n\nExperimental Protocol:\n\n- Paradigm: ssvep\n- Feedback: none\n- Stimulus: flickering\n\nThis dataset contains 12-class joint frequency-phase modulated steady-state\nvisual evoked potentials (SSVEPs) acquired from 10 subjects used to\nestimate an online performance of brain-computer interface (BCI) in the\nreference study [1]_.\n\nreferences\n----------\n\n.. [1] Masaki Nakanishi, Yijun Wang, Yu-Te Wang and Tzyy-Ping Jung,\n\"A Comparison Study of Canonical Correlation Analysis Based Methods for\nDetecting Steady-State Visual Evoked Potentials,\" PLoS One, vol.10, no.10,\ne140703, 2015.\n`<http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0140703>`_",
  "DatasetDOI": "10.82901/nemar.nm000118",
  "Version": "1.0.2"
}