Three 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 compared three DPSS tapers with one Hann taper for power features in public SEEG data. DPSS means discrete prolate spheroidal sequences. The time and half-bandwidth product was 2. Eight people had one task record each. All methods used the same eight bipolar pairs, 500-sample buffers, power bands, trial split, and fitting rule. Early trials set the models. Later trials tested rest versus a state before a known response. Mean later Brier error fell from 0.181243 to 0.169496. The paired change was -0.011747, or a 6.48% decrease. Seven of eight records had lower error. The descriptive 95% person bootstrap interval was [-0.018232, -0.005066]. A fixed penalty gave a similar result. A single first DPSS taper gave little change at that penalty. Known test signals showed less power variation with three tapers. They also showed changes in the frequency response at band edges. Thus the decoding gain cannot be assigned to noise reduction alone. The cohort and test rows were used before. The pair list was fixed from earlier training data. This result concerns offline task-state reading. It does not establish intention, online control, a new-session gain, or a stimulation effect. The package includes three figures, input waveforms, models, predictions, source checks, code, and repeat instructions.
stereoelectroencephalography · SEEG · DPSS · multitaper spectral estimation · Brier error · brain-computer interface · power spectrum · temporal validation
References
5- 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 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.
- supersedesThree 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:efecb45b0171b0d0931d4c2415822bb56a53f050f143c97147d98f66f39db5bd
The first package checker counted sci download metadata as study content. This version excludes that folder and corrects the repeat instructions. All input data, features, models, numerical results, and figures match the first version by SHA256.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analyzed buffers and source metadata are from OpenNeuro ds004473 v1.0.2; saved source metadata identifies this exact version and its CC0 license.
- doi:10.1088/1741-2552%2Facae0a
- doi:10.1109/PROC.1982.12433
Cited by
10 publicationsPublic catalog entries on Sciscape.
- 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 uses the exact public SEEG buffers, source metadata, spectral helpers, and base model code from this package. It adds a fixed score-spread rule and matched calibration tests on later trial blocks.
- usesSelection for recorded keys did not show lower mean offline Brier error in eight cued SEEG records with eight pairs and C=0.1
We used its retained trial definitions, pinned EDF ranges, calibration headers, source parser, and fitting utilities. Its archived waveforms checked exact raw extraction. We fitted new pair scores and key readers.
- usesGaps of 50 samples gave higher later Brier error than gaps of 1 sample with linear repair and training on intact data in eight reused SEEG records at 20 percent loss
This publication supplied all exact selected SEEG buffers, metadata, selection files, retrieval and audit code, and the fixed-C Hann reference. The new comparison keeps those inputs and adds equal-loss periodic layouts, all mask origins, two repairs, and matched training with fixed total fitting weight.
- usesEight 16-contact SEEG tests showed no clear key Brier decrease from one pair per shaft under known simulated shaft loss
We used its trial screen and synchronized windows through the feature publication. These rules define the analyzed source rows.
- usesThree DPSS tapers showed no clear Brier error decrease across sessions in 15 SEEG load readers at C = 0.1 with fixed pairs and assumed timing
This work supplied the question and three-taper method: symmetric DPSS, NW = 2, and equal power weights. We tested that method in a different memory task with a split between sessions. The new result does not contradict its motor-task result.
- usesMedian 70–110 Hz power gave higher mean Brier error than block mean power in eight SEEG records with one simulated three-sample contact pulse at ten times early RMS
This publication supplies the earlier waveform and selection lineage and power-equation context. Its prior taper results are not new observations in the present test.
- usesLoss of packets with large voltage changes did not show a clear mean error rise over mask reassignment with linear repair and intact training in eight reused SEEG records at 20 percent loss
Indirect source of the exact selected 500-sample bipolar buffers and provenance inherited through the direct source. This study preserves its input publication record and repeats the same fixed-C intact Hann reader before adding loss conditions.
- usesFourfold decimation with a reset causal filter raised mean later Brier error by 0.00255 in eight reused SEEG records with refitted readers
This study supplied the exact digital buffers, fixed contact and trial choices, source metadata, Hann power code, and logistic fitting code. Its fixed-C native scores gave a numerical reference. We added causal filtering and digital decimation.
- 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 three-DPSS power code and preserved its exact input and source lineage through the direct input publication.
- 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 used its exact selected digital buffers, pair and trial lists, source range records, spectral utilities, EDF transport code, and retrieval recipe.