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Three tapers increased mean SEEG gate score at error cost 4 in eight reused recordings, but the change interval included zero

We tested a fixed 80% confidence gate in public SEEG data from eight people. We scored a correct output as +1, a wrong output as -4, and a withheld output as zero. Three DPSS tapers gave mean score 0.136429 per available test window. One Hann taper gave 0.068157. The paired change was +0.068272. Its 95% person bootstrap interval was -0.002205 to +0.129043. The interval included zero. Output retention rose from 49.93% to 56.83%. Mean wrong outputs per available window stayed near 8.64%. Observed error among accepted outputs was 20.19% for Hann and 18.12% for three DPSS. The probabilities predicted only 9.34% and 7.87%. Each method had negative score in four people. An offline control that retained 50% of outputs favored three tapers. The test used 674 later trials with two task-state windows per trial. The trials came from OpenNeuro ds004473 version 1.0.2 and had been used in earlier work. Response markers defined the windows, and an inherited quality rule used post-response samples. This study does not establish a live error bound or a brain stimulation benefit. The package preserves exact inputs, source records, source retrieval code, every output, figures, and reproduction checks.

stereoelectroencephalography · brain-computer interface · selective classification · confidence gate · DPSS · Hann taper · calibration · OpenNeuro ds004473

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References

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  1. usesThree DPSS tapers gave lower mean Brier error than Hann in eight reused SEEG recordings with 500-sample buffers sci:sha256:6b6f409ccedb538d81478030fd7ac7ab8512d1e3bcef6a9af4feebff6c7e2f5e

    This package supplied exact voltage buffers, fixed contact pairs, source records, and reader rules. We reproduced its two readers and tested fixed-cost gates.

  2. usesFixed early confidence thresholds reduced mean task state error to 24.5% at 49.6% retention after condition changes in eight offline SEEG tests sci:sha256:67664491c0474529f745f7fca563fcc1e5964887d611b1c9b90a66aa6e227ae6

    Its early confidence-gate test motivated the output decision question. We compared spectral estimates under a fixed error cost, without using its models or thresholds.

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

    Its fixed trial and pair rules and EDF helper were reused through the direct input package. They enabled matched inputs and fresh source checks.

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

    Source dataset, exact analyzed version 1.0.2; its saved version-specific metadata records CC0.

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

    The cited source study reports movement-related oscillations in the dataset context described here.

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