One gain rule per shaft gave lower mean later Brier error than one rule per pair in eight SEEG records under an ideal equal contact gain model
We tested two gain rules for a brain signal reader. We used public OpenNeuro ds004473 version 1.0.2. Eight reused SEEG records supplied 1332 training trials and 674 later test trials. Each input had eight bipolar pairs and three band powers. The shaft rule kept 18 to 21 power coordinates. The pair rule kept 16. Both rules cancelled ideal positive contact gains that were equal on each shaft and constant within each buffer. Mean later Brier error was 0.187576 for the shaft rule and 0.190209 for the pair rule. The paired change was -0.002633. Seven of eight people had lower error. The descriptive 95% person interval was -0.006120 to -0.000266. The exact sign-flip reference was 0.07031. The fixed-penalty interval included zero. Full power had lower mean error without added gain. The package includes a gain proof, code, source records, all fits and test scores, and three figures. All 24 numerical files passed an exact repeat. Fresh source ranges matched 32 input windows. This is an offline method test on a reused clinical sample. It does not establish a live BCI benefit or a neural cause.
stereoelectroencephalography · signal processing · gain invariance · Brier score · brain-computer interface · bipolar electrodes
References
5- usesThree DPSS tapers gave lower mean later Brier error than a Hann taper in eight reused SEEG records with fixed bipolar pairs and 500-sample buffers sci:sha256:bd2b70f0665b6319bf4e85827eb9f5e099defe2ec47485c3b3f543374625d480
We used its exact selected digital buffers, pair and trial lists, source range records, spectral utilities, EDF transport code, and retrieval recipe.
- usesOne shared gain constraint gave lower mean Brier error than eight pair gain constraints in eight reused SEEG records under a uniform gain model sci:sha256:c23a39e2554b405e4ae3bc346d7725666cbf215170a730abf032b586a85f3661
We extended its global-versus-pair gain comparison to gain groups from shaft labels. We used its common feature scale and L2 penalty geometry.
- usesSpectral contrasts gave 61.2% mean balanced accuracy under fixed shaft gains within ±3 dB in eight SEEG recordings sci:sha256:14a3a6432c644bebc872ba12928232e79781ea1a740dff5445b1a5aabf94d042
We used its equal contact shaft gain model and earlier pair contrast result to define the new group comparison and exact fixed-gain loss audit.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The study uses the public SEEG signals and source metadata from this exact OpenNeuro release.
- doi:10.1088/1741-2552%2Facae0a
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesTraining for equal contact gains within ±1 voltage dB on each shaft gave exact invariance in eight SEEG fits at C = 0.1
We used its exact digital buffers, trial and pair lists, source metadata, range recipe, shaft group rule, and common standardized coefficient penalty.