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A shared time filter changed mean SEEG sound amplitude skill by −0.00018 in nine listeners at a 400 ms delay

We tested a shared time filter across eight SEEG pairs using OpenNeuro ds004703 version 1.1.0. Six early passages per person trained the models; 100 later passages from nine people tested them. The shared reader stored 13 filter values, compared with 40 for the separate-filter reader. Mean error skill was 0.12948 versus 0.12967, a change of −0.00018 (95% person-bootstrap interval −0.01195 to 0.00830). Six people gained skill and three lost skill; the largest loss was 0.04233. The results do not establish equal performance. The target was heard log sound amplitude at a 400 ms output delay; intended speech and stimulation were not tested. The SCI package retains the scientific report, results, figures, compact readers, and MIT-licensed code. It omits recordings, audio, event tables, source metadata, raw audit samples, and cached features because the source description says CC0 while the source README restricts commercial use and identification. This was an exploratory reanalysis: the test passages had been used in prior work.

SEEG · speech amplitude · shared time filter · neural decoding · exploratory reanalysis

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References

6
  1. supersedesA shared time filter changed mean SEEG sound amplitude skill by −0.00018 in nine listeners at a 400 ms delay sci:sha256:a560c063ff8a0e9ece788ec80c381ca1dbce905a4e84c1428c1123b884c2b3db

    Version 2 fixes the package manifest check for supplemental library metadata added by sci fetch. It preserves the scientific results and source checks.

  2. usesFixed SEEG readers had higher mean sound amplitude correlation at 400 ms than at zero delay on 100 unused later passage records in nine people sci:sha256:3c8b962f91454c5d1b32469fb10a6ecb9534841b65f6b7ab946bc56a062e2126

    Its earlier later-passage split and corrected raw range provenance are retained through the immediate data source. These records support the fixed chronological test and raw-source checks.

  3. usesSelected SEEG pair deviations reduced mean error in log sound amplitude on 100 later passages in nine people with a 400 ms output delay sci:sha256:a2f979743f761bc5638efa44fcc4e1fe5803608c1ad497cd8ed4a35d31ce82af

    This study uses its compact SEEG pair features, sound targets, fixed passage split, raw range records, retrieval checks, and source notices. It tests one shared time filter on the same later passages.

  4. usesTen offline SEEG readers gave mean correlations of 0.214 at zero added delay and 0.302 at 400 ms for heard sound amplitude sci:sha256:0363ee7f6d1912a2c732d3938bfa9b204378683c1ded14e573a003ec7c3ef2fc

    Its corrected-clock feature method and inherited extraction code define trailing SEEG power, sound targets, adjacent pairs, and the 400 ms output delay.

  5. usesdoi:10.18112/openneuro.ds004703.v1.1.0

    This is the recorded version of the OpenNeuro dataset used for the SEEG and sound inputs in the analysis.

  6. doi:10.1038/s41467-024-44844-9

    This is the source study associated with the dataset; its phoneme analyses were not repeated here.

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