A 0.95 gap map bound limited state sensitivity but increased phase error under dense irregular loss in nine SEEG rest records
We tested a guard for a learned filter state reader during irregular simulated SEEG loss. The guard limits each completed gap map to an operator norm of 0.95. A proof bounds initial-state differences for shared voltage history, fixed weights, and any order of four fitted gap lengths. The reader needs no future observation interval. We used nine public rest records, 36 bipolar pairs, and 144 fixed models from earlier work. The test began with intact filter states. Under dense irregular loss, mean gap-end phase error was 73.14 degrees for the matrix guard and 64.46 degrees for voltage holding. The increase was 8.68 degrees, with a descriptive record bootstrap interval of 6.45 to 10.78 degrees. All nine record differences were positive. The guard prevented extreme state growth but did not ensure low state error. Results changed with the gap schedule. The package contains exact selected voltage, fixed weights, every scored endpoint, three figures, code, a proof, source hashes, and repeat instructions. This is an exploratory replay of a reused cohort. It does not test real stimulation artifacts or live brain interface use.
SEEG · irregular data loss · state estimation · phase error · operator norm · signal processing
References
7- usesTwo of 36 learned SEEG state maps were unstable during 100 ms simulated gaps every 120 ms sci:sha256:28dec263a684c3edc55154127a63ea5a4656288fb3acc603cfe9f34ad9e44956
Supplied nine corrected voltage extracts, filter code, source receipts, and a fixed-cycle failure result. Its guard used a known full cycle. This test adds a gap-only bound and irregular schedules.
- 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
Supplied all 144 fixed models and their earlier fitting recipe. This replay uses the same weights and scales. A separate check rebuilt the weights.
- usesA shared reader had 58.38 degrees of mean absolute phase error in two new SEEG rest records at 50 ms with a centered theta reference sci:sha256:6bd2f301da5cc69ca85251358ec5d79565bf3c48c78038666bfdd36352965b56
Supplied the corrected EDF contact mapping and voltage derivation through the retrieved parent package.
- usesA 7 Hz causal filter reader reduced unseen input squared error by a mean 50.4 percent at 50 ms in nine SEEG rest records sci:sha256:f851bd1de5c8367288ad9745a4316baf6f4e7fde8dfec5bb56d0adb133df2ac4
Supplied the causal complex filter and past-only 27-feature model definition through the parent package.
- usesTwo exact bounds certified a 7 Hz SEEG filter phase after simulated gaps in nine rest records under voltage caps sci:sha256:1e7436d8e30edf812519ca308906d17bd0b1a757df88c2ccc6c9d70a987f5cb5
Supplied the public file prefix reconstruction method used through the parent. Fresh prefix checks reproduced all packaged voltage values.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
Used seven selected rest records (UC004, UC005, p16, p17, p18, p19, and p20) from OpenNeuro ds006065 version 1.0.0.
- usesdoi:10.18112/openneuro.ds005670.v1.0.0
Used two selected rest records (01 and 02) from OpenNeuro ds005670 version 1.0.0.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- supersedesIn nine SEEG rest records, a 0.95 gap-map bound limited state growth but raised phase error under dense irregular loss
Corrects the package checker to exclude the metadata folder added by sci fetch. The scientific report, data, fixed models, protocol, outputs, proof, and figures are unchanged.
- usesA new fit of voltage history weights reduced state error after map clipping in nine SEEG rest records with sparse simulated loss
We used the nine voltage extracts, fixed models, held buffer rule, 0.95 gap map limit, and irregular loss schedules. We reproduced the unchanged dense and fixed baseline scores. We tested new early history and constrained map fits.