Adding a band power slope constraint raised mean Brier error in eight offline SEEG tests with fixed early training
We tested three small readers on eight public SEEG records from OpenNeuro ds004473 version 1.0.2. The readers used the same eight pairs, early training trials, feature scales, and coefficient penalty. Adding a band power slope constraint to an offset constraint raised mean Brier error from 0.2111 to 0.2486. The paired increase was 0.0375, with a descriptive 95% person bootstrap interval of 0.0081 to 0.0768. Mean balanced accuracy fell from 67.0% to 56.8%. The added constraint canceled changes under a stated three-band offset and slope model. It did not cancel power transfer before band integration. A spectrum check changed output probabilities by up to 5.27 percentage points in stored raw audit windows. All 64 random controls of the same reduced dimension had lower mean probability error. These controls were added after the primary result. The package preserves code, source pins, features, model states, predictions, proofs, four figures, and reproduction instructions. The evidence is limited to reused offline records with response-aligned labels and fixed early training.
stereoelectroencephalography · brain-computer interface · band power · logistic regression · Brier error · signal robustness
References
4- usesPower ratios kept 66.9% mean balanced accuracy under simulated constant ±6 dB bipolar channel gains in eight offline SEEG tests sci:sha256:39d3689f1273ba6508030e42f3b02eca9f5c11bb5757a0afa778385e7626d0b2
Its constant-gain ratio comparison motivated the question about adding a second band change direction. Our study adds a band slope constraint and keeps the original standardized coefficient penalty fixed across readers.
- 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 reused the pinned feature arrays, source metadata, extraction code, eligibility rules, eight-pair ranking, and early-to-later trial split. We verified the source baseline and rebuilt all subject 11 features from public raw ranges.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analysis used OpenNeuro ds004473 version 1.0.2; the source snapshot and raw object versions are recorded in the package.
- doi:10.1088/1741-2552%2Facae0a
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