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Independent trials and separate patient/key rates limit monotone 95% mean balanced accuracy bounds to 82.7% for 32 SEEG conflicts in five patients

We tested whether public SEEG cue and key conflict trials can support a 90% mean balanced accuracy bound. The primary scope has 32 trials in five patients. Each patient and key group can have its own success rate. Under independent Bernoulli outcomes, a fixed decoder, and nonrandomized monotone tests based on group correct counts, even a perfect result cannot support the 90% target at the 5% test level. The sharp one-sided 95% lower-bound ceiling is 82.71%. An exact search of 19,448 allocations shows that seven additional trials in sparse groups are the minimum for a 90% bound after a perfect result. Fresh public EDF ranges reproduced all 33 retained conflict feature arrays. The package contains the proof, code, source features, labels, provenance, three figures, and reproduction instructions. This is a design capacity result. It does not measure decoder accuracy, verify trial independence, or calculate power.

stereoelectroencephalography · brain-computer interface · conflict trials · balanced accuracy · confidence bounds · trial allocation · independent Bernoulli outcomes

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References

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  1. supersedesIndependent trials and separate patient/key rates limit monotone 95% mean balanced accuracy bounds to 82.7% for 32 SEEG conflicts in five patients sci:sha256:1fc5f0471926ee8cb55c5d9123cec5d63c2d4563ce3940d9cb0257a867a8b041

    This package corrects the manifest check for metadata that sci fetch adds. The scientific results and reference output hashes are unchanged.

  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

    The conflict benchmark includes this work’s retained SEEG feature arrays and metadata. I kept them for the new label audit, fresh raw checks, and full reproduction recipe.

  3. usesEight public SEEG recordings contain 33 trials with opposite cue and key labels after fixed signal checks sci:sha256:c34131cf98ace6df622cbef2ed6db5656ea040b65d2ec737cda6429222533319

    I used the preserved SEEG features, labels, exclusions, and raw retrieval code. These files defined the conflict trial counts for the new confidence-bound proof and allocation tool.

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

    The analysis uses the retained SEEG behavior records and feature arrays from OpenNeuro ds004473 version 1.0.2.

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

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