Fitting under a 0.95 state norm limit reduced mean 7 Hz filter phase error by 14.26 degrees against a scaled guard in nine SEEG records with changing simulated gaps of 20 to 200 ms
Fitting under a state norm limit retained more phase accuracy than scaling state weights after fitting in the main simulated-gap test. We tested nine reused public SEEG rest records from OpenNeuro ds006065 and ds005670, version 1.0.0. Each record supplied four fixed pairs. The target was an intact causal 7 Hz filter. A convex fit changed 67 of 144 gap maps and kept every complete gap map norm at most 0.95. With changing simulated gaps of 20 to 200 ms, mean phase error fell from 65.24 to 50.97 degrees against the earlier scaled guard. All nine record means improved. The paired descriptive interval for the change was -17.70 to -11.66 degrees. State error also fell. Projection without refitting gave 65.19 degrees. The burst schedule had no mean phase gain against the scaled guard. The phase gain over held voltage occurred in only five of nine record means. The norm bound contracts initial state differences for arbitrary supported gap order under shared voltage histories; it does not bound error against the intact filter. This is an exploratory offline result on reused records. No neural phase truth, measured stimulation artifact, or stimulation effect was tested. The package preserves selected voltage, fitted models, code, a proof, figures, source receipts, independent checks, and reproduction instructions. Fresh public prefixes reproduced all 7.2 million selected voltage values exactly. A separate numerical rerun reproduced all 117 result files exactly.
SEEG · state-space filter · phase estimation · gap reader · spectral norm · ridge regression · stability
References
5- usesProducts of two stable cycle maps were unstable in 11 of 36 fitted SEEG readers on a fixed timing grid sci:sha256:d24b68b6fd2c99990305092dbb899ded1d0e9c76ef73b3102b177ba4c068f9b3
We reused its nine selected voltage extracts, four fixed pairs per record, original models, changing gap schedules, streaming buffer rule, and scaled norm guard. Its measured accuracy cost motivated fitting under the same norm limit.
- usesA learned state reduced mean 7 Hz filter phase error after 100 ms simulated gaps in nine SEEG rest records with known initial states sci:sha256:101556a678d7a1131cc51640655ad1744d73bf01ea5d5882f68258510d434efd
Its original affine regression code and early fitting plan define the target, features, and inherited validation-selected penalties. We reconstructed all 144 original fits exactly and fit new weights under a complete gap map norm limit.
- usesTwo exact bounds certified a 7 Hz SEEG filter phase after simulated gaps in nine rest records under voltage caps sci:sha256:1e7436d8e30edf812519ca308906d17bd0b1a757df88c2ccc6c9d70a987f5cb5
We adapted its public-prefix voltage rebuild recipe through the parent package. This enabled fresh exact reconstruction of every selected voltage value without full raw file downloads.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
The study uses selected voltage from seven records in ds006065, version 1.0.0; source URLs, commits, hashes, and license records are preserved.
- usesdoi:10.18112/openneuro.ds005670.v1.0.0
The study uses selected voltage from two records in ds005670, version 1.0.0; source URLs, hashes, and license records are preserved.
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