{
  "id": "p300-target",
  "title": "P300 target ERP",
  "short": "Transfer to a new person",
  "dataset": "ds006593",
  "subtitle": "Visual target versus nontarget events",
  "type": "accuracy",
  "subjects": 21,
  "observations": "2,520 epochs · 5 participant-disjoint folds",
  "exposure": "19 channels · 1-second windows",
  "status": "Research preview",
  "xLabel": "Macro F1",
  "yLabel": "Balanced accuracy",
  "limitation": "Balanced target/nontarget sample changes the source 1:9 prevalence. One-second windows include later flashes at 0.3-second intervals; this is not an online speller estimate.",
  "protocol": [
    "5 participant-disjoint folds. All recordings from a person stay together. Each person contributes to the held-out predictions once.",
    "units: microvolts; epoch: [stimulus onset, onset + 1.0 s); filtering: none added",
    "One fixed seed (20260919); no early stopping or test-based tuning. EEGNet trains for 20 epochs per fold. Frozen encoders use training-only standardized ridge heads (alpha 100).",
    "Labels: nontarget, target.",
    "Uniform-guessing reference: 50.00%. Scores weight participants equally. Intervals describe participant variation; cross-validation training sets overlap.",
    "Research subset with fixed deterministic sampling capped at 60 epochs per participant/class.",
    "The cap balances target and nontarget and therefore changes the original approximately 1:9 class prevalence.",
    "Stimuli were presented about every 0.3 s, so each 1 s epoch contains responses to later stimuli; this is intrinsic next-stimulus contamination."
  ],
  "protocolId": "parallel-fixed-subject-folds-v1/ds006593",
  "version": "OpenNeuro snapshot 1.0.0 · b3fa345b310abfcf442dd4e2867f6652336c3fe4",
  "elapsed": 61.87171109719202,
  "peakGb": null,
  "auditSha": "30762120c57bede9f47d2e96637656e8948fca458016f7f2e3a39f951a357716",
  "source": "https://doi.org/10.18112/openneuro.ds006593.v1.0.0",
  "backend": "Local Ubuntu / CUDA",
  "chanceLevel": 50.0,
  "selection": "One fixed seed and training budget; multi-seed sensitivity pending.",
  "summarySha": "a63a7ba5bbd6dd7865ae260b707c2db896136646a910d96516fa5c862e1146c0",
  "protocolSha": "bf6796dfe04dffa57bdd08933d2bb743722da71594135f04fa4fc33f3fb7dd46",
  "license": "CC0-1.0",
  "licenseUrl": "https://creativecommons.org/publicdomain/zero/1.0/",
  "attribution": "OpenNeuro ds006593 contributors · version 1.0.0, doi:10.18112/openneuro.ds006593.v1.0.0; original author credits retained at the linked source.",
  "privacyReview": "Dataset metadata/README report IRB approval #10-05-2022 and written informed consent. Participant metadata contains pseudonymous IDs and study descriptors without demographic fields. Eye-tracking and raw signals remain off-site.",
  "reviewedAt": "2026-09-20",
  "reviewBasis": [
    "https://doi.org/10.18112/openneuro.ds006593.v1.0.0",
    "https://nemar.org/dataset/on006593"
  ],
  "rightsScope": "Personal noncommercial research; aggregate results only",
  "pretrainingOverlap": "Unknown unless explicitly documented; no unseen-pretraining claim."
}