A reader of past voltage reduced mean 7 Hz filter phase error in nine SEEG rest records with mixed 20 to 200 ms simulated gaps and known initial states
We tested a reader of past voltage during mixed simulated gaps in nine public SEEG rest records. Four fixed pairs per record supplied the data. Gap and observed intervals varied among 20, 50, 100, and 200 ms. The reader used 25 voltage means and the last observed sample. Its input models had no estimated state input. Each replay began with one exact filter state. Mean gap-end phase error was 47.61 degrees, compared with 53.78 degrees for held voltage. The paired mean decrease was 6.17 degrees. Its descriptive 95 percent record bootstrap interval was 3.60 to 9.40 degrees. All nine record means decreased. Adding the last sample reduced mean error by 3.28 degrees against 25 means alone. The gain against holding at 200 ms remained uncertain. A conditional proof retains filter state decay for shared voltage histories and fixed input models under changing supported gaps. All 7.2 million voltage values matched fresh public source extracts. A separate sample-loop reader, independent fit checks, and a complete repeat passed. The package preserves data, code, models, figures, proof, source records, and repeat instructions. This exploratory result uses a numerical 7 Hz filter and a reused cohort. It does not establish true neural phase accuracy, measured artifact recovery, or a brain stimulation benefit.
SEEG · filter phase · voltage reader · simulated gaps · signal processing · neural engineering
References
6- usesA learned state with the last voltage sample reduced mean 7 Hz filter phase error against held voltage after 20 ms simulated gaps in 36 SEEG patients with exact pre-gap states sci:sha256:457f97769f66d529c6d5de55624570ed13e6016bdbd0d8ef2722998ac1e75065
Its finding for a last-voltage-sample feature in a separate cohort motivated the added input here. Our test uses repeated changing gaps and a voltage-only input model, rather than its isolated gaps and state-feedback model.
- usesProducts of two stable cycle maps were unstable in 11 of 36 fitted SEEG readers on a fixed timing grid sci:sha256:d24b68b6fd2c99990305092dbb899ded1d0e9c76ef73b3102b177ba4c068f9b3
This archive supplied the nine corrected voltage arrays, early calibration, 144 state-feedback models, exact mixed and secondary gap schedules, and archived guard scores. We used them for paired comparisons with two newly fitted voltage input rules.
- 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
This original nine-record study supplied the selected pairs and early voltage calibration in the inherited research line. We retained those choices to compare readers on the same voltage and filter target.
- usesA reader of past voltage reduced 7 Hz filter phase error in nine SEEG rest records with known initial state and 100 ms simulated gaps every 200 ms sci:sha256:08ddad0672d9b91c04ef89e41fb994c15f53fd3429be275029588a7860b0c5e1
The prior voltage-only 100 ms reader supplied the input rule and conditional filter decay argument. We extended the tests to four gap lengths and added the last voltage sample. The new 25-input 100 ms fits reproduced all 36 archived models to numerical precision.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
Seven of the nine analyzed records came from OpenNeuro ds006065 version 1.0.0; the saved dataset metadata records this exact version DOI and CC0 license.
- usesdoi:10.18112/openneuro.ds005670.v1.0.0
Two of the nine analyzed records came from OpenNeuro ds005670 version 1.0.0; the saved dataset metadata records this exact version DOI and CC0 license.
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