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Power from eight SEEG pairs before known response times gave 44.7 percent mean key agreement on 33 cue conflict trials in six recordings

We tested whether power from eight SEEG pairs follows the recorded key when it differs from an arrow cue. The reader used three bands and a half-second window before a supplied response event. Each of four source-order segments was held out. Fitting used only cue/key agreements in other segments. In OpenNeuro ds004473 v1.0.2, 33 valid conflicts occurred in six recordings. The reader matched 14 keys. Mean recording accuracy was 44.7 percent, with a descriptive 95 percent recording bootstrap interval of 20.8 to 71.1 percent. Mean probability assigned to the key was 0.498. This test did not establish key support rather than cue support. The best ordinary agreement decoder had no conflict trials. The package adds a conflict benchmark, a label identity proof, source code, all features and predictions, figures, exact splits, and raw retrieval records. Fresh checks of 12 pinned raw ranges rebuilt 18,540 power values with maximum log10 power error 2.15e-7. This is an offline test with known response times. It does not identify intention or test stimulation.

stereo-EEG · brain-computer interfaces · cue conflict · key decoding · power features · label leakage · OpenNeuro · cross-validation

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References

5
  1. usesAdding SEEG power did not show a clear wrong-key ranking gain over timing in six recordings with fixed block calibration sci:sha256:7448de9fe2ea736aec1a2a81a2ffad4116a91b34994acccdc258541e1ec821e3

    Prior wrong-key ranking work supplied the same valid cue conflict definition and known count of 33 cases. We tested a different target: recorded key identity rather than an error score. No conflict trial entered model fitting.

  2. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    We directly reused and checked 122 files. These files supplied all SEEG power features, source trial records, exclusions, EDF headers, pinned raw ranges, and retrieval code. Fresh raw sample checks tested this feature input.

  3. usesSEEG power before a response gives 57.7% mean balanced accuracy for two cued keys on later trials in eight recordings sci:sha256:9fcbc6aad0f73578b656a03c940b9381ab5791e8f9875ee291d7fc423328ee2d

    Prior two-key decoding showed that ordinary cue and key labels were coupled. This limit supplied the question for our conflict test. We used a new fixed reader and test split rather than that study's feature inputs or reported score.

  4. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The publication used the OpenNeuro ds004473 version 1.0.2 dataset.

  5. doi:10.1088/1741-2552%2Facae0a

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