One shared gain constraint gave lower mean Brier error than eight pair gain constraints in eight reused SEEG records under a uniform gain model
We tested two gain constraints for a brain signal reader with public OpenNeuro ds004473 version 1.0.2. Eight people had 2014 selected trials. Each reader used 24 log-power features from eight bipolar pairs. It learned rest versus a state before a known response from early trials and predicted later trials. One shared gain constraint gave mean Brier error of 0.187911. Eight pair constraints gave 0.202127. Six people had lower error with the shared rule. The mean paired change was -0.014216; the descriptive 95% person bootstrap interval was [-0.027692, -0.003818]. Both rules cancel a nonzero voltage gain shared across contacts and constant within each buffer. The shared rule keeps seven more dimensions. The unrestricted reader had lower recorded error, 0.182401. Separate synthetic stream gains defeated the shared rule. This is an exploratory comparison on a reused epilepsy cohort. It does not test live control, another day, or brain stimulation. The package preserves all used samples, code, features, models, predictions, uncertainty draws, an exact gain proof, and three figures. All selected buffers were rebuilt from pinned public source ranges. All eight rebuilt waveform files had identical hashes. A full offline replay produced 24 byte-identical result files.
stereoelectroencephalography · SEEG · brain-computer interface · Brier error · gain invariance · signal processing · exploratory study
References
6- usesThree DPSS tapers gave lower mean Brier error than Hann in eight reused SEEG recordings with 500-sample buffers sci:sha256:6b6f409ccedb538d81478030fd7ac7ab8512d1e3bcef6a9af4feebff6c7e2f5e
This study supplied the exact short-buffer source lineage and the pinned EDF range retrieval recipe used to rebuild every selected trial.
- usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd
This study supplied the original fixed pair selection, trial eligibility rules, source signal clock, and EDF parser. The new test kept those choices fixed.
- usesGamma envelope concentration lowered mean later-trial Brier error against three band powers in eight reused SEEG recordings with 500-sample buffers sci:sha256:0bc25b12383c286331888bab38023e35325a14eb0a90f59bf271b0e9ce54bbb0
This study supplied the exact waveform inputs, fixed pairs and trials, and source records. They enabled the matched comparison of all three readers. Its power baseline was also checked against the new unrestricted reader.
- usesA three-band projection kept 57.1% mean SEEG accuracy under assumed gain and slope shifts in eight recordings sci:sha256:3a221954a54ce377e52b4cabf123e5274c7154159ebec3ef365bc0c4716c2e41
Its gain and slope projection model and its reported task error cost informed the new question. The new comparison tests one shared gain constraint against eight pair gain constraints with a matched penalty. No fitted model or numerical result from that study was reused.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The study used the fixed source records in OpenNeuro ds004473 version 1.0.2; its saved metadata identifies the dataset as CC0.
- doi:10.1088/1741-2552%2Facae0a
Cited by
13 publicationsPublic catalog entries on Sciscape.
- usesAdded spatial power gave no clear mean test error decrease with pairs selected from band contrasts in eight SEEG records
We read this earlier shared versus separate gain comparison after computing the primary scores. Its selection limit informed interpretation. Its penalty geometry informed the post hoc matched penalty check. The present test uses the same cohort and is not an exact reproduction.
- usesA fixed rule based on taper spread gave a mean Brier change of -0.00072 in eight reused SEEG records with buffers of 500 samples
This study keeps the earlier input and base-fitting method through the direct input package. It does not claim an independent test of the cohort or its final rows.
- Added imaginary coherency increased mean Brier error for tuned linear readers in eight SEEG records with fixed 500-sample inputs
[Legacy relation: reproduces] The new Hann and rectangular power feature arrays matched the inherited arrays. Sixteen final power readers agreed within 5.13e-7 in test logits. The rectangular mean Brier error reproduced 0.182401.
- usesAdded imaginary coherency increased mean Brier error for tuned linear readers in eight SEEG records with fixed 500-sample inputs
This publication supplied the exact 500-sample input buffers, source metadata, MIT EDF parser and retrieval code, and the power-reader fitting method. We fixed its trials and contacts and added cross-shaft coherency features.
- usesExact bounds saved 17.7% of pair calculations and kept all full reader decisions in eight SEEG recordings with clipped pair scores
This study uses its exact selected digital SEEG buffers, fixed unrestricted power readers, chronological splits, source metadata, and retrieval code. All 146 copied files match its manifest.
- usesStored recovery readers gave no clear mean Brier error gain with 10 percent wrong shaft flags in eight offline SEEG recordings
This publication supplied all eight exact waveform files, fixed selection records, pinned source metadata, EDF range recipes, and source retrieval code. All 109 inherited input file hashes matched.
- usesTraining for the largest loss gave higher mean maximum Brier error after temporal tuning in eight SEEG records with rectangular power features and one known absent pair
This publication supplied the exact eight waveform files, selected bipolar pairs, trial eligibility, source metadata, and outer temporal split. We used these fixed inputs for a new comparison of mean and largest logistic loss. We did not reuse its fitted readers or gain comparison.
- usesExact bounds saved 17.7% of pair calculations and kept all full reader decisions in eight SEEG recordings with clipped pair scores
This study uses its exact selected digital SEEG buffers, fixed unrestricted power readers, chronological splits, source metadata, and retrieval code. All 146 copied files match its manifest.
- usesContact mask training gave no clear mean Brier error gain after two simulated contact losses in eight SEEG recordings
We reused the exact digital voltage windows, fixed eight bipolar pairs, retained trials, source metadata, pinned range hashes, EDF reader, and retrieval code. We fit new contact-mask and backup readers and tested a new two-contact failure question.
- 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
We used its exact 500-sample SEEG waveform buffers, fixed trial and pair lists, EDF metadata, pinned range manifests, retrieval code, and logistic fitting formulation. We recalculated all Hann and DPSS features, fitted all new models, and checked fresh raw source ranges. Its earlier gain-constraint scores were not used as new scores.
- usesAdded spatial power gave no clear mean test error decrease with pairs selected from band contrasts in eight SEEG records
We read this earlier shared versus separate gain comparison after computing the primary scores. Its selection limit informed interpretation. Its penalty geometry informed the post hoc matched penalty check. The present test uses the same cohort and is not an exact reproduction.
- usesStored recovery readers gave no clear mean Brier error gain with 10 percent wrong shaft flags in eight offline SEEG recordings
This publication supplied all eight exact waveform files, fixed selection records, pinned source metadata, EDF range recipes, and source retrieval code. All 109 inherited input file hashes matched.
- usesOne 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 extended its global-versus-pair gain comparison to gain groups from shaft labels. We used its common feature scale and L2 penalty geometry.
- 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
We used its exact 500-sample SEEG waveform buffers, fixed trial and pair lists, EDF metadata, pinned range manifests, retrieval code, and logistic fitting formulation. We recalculated all Hann and DPSS features, fitted all new models, and checked fresh raw source ranges. Its earlier gain-constraint scores were not used as new scores.