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A 100 ms voltage history gave 1.16 degrees less mean offline theta phase error than 500 ms in seven SEEG rest records at 25 inputs and a 50 ms forecast

A 100 ms voltage history gave 1.16 degrees less mean offline theta phase error than 500 ms in seven public SEEG rest records. Each history gave 25 block means. Separate ridge models forecast phase 50 ms after a past-only input cutoff. We used 28 fixed adjacent pairs from OpenNeuro ds006065 version 1.0.0. Mean absolute error was 56.59 degrees with 100 ms and 57.75 degrees with 500 ms. Six of seven people had less error with 100 ms. The descriptive 95 percent person bootstrap interval for the short-minus-long difference was -1.81 to -0.25 degrees. The exact two-sided sign-flip value was 0.078125 under independent people and symmetric null differences. Point and native-sample controls had intervals that include zero. History length also changes temporal averaging. The short method used 80 percent fewer persistent float64 voltage buffer bytes: 400 instead of 2000 per pair. Both models had 25 inputs and 50 output weights. These counts do not measure device energy or total memory. Only 51.42 percent of short-history forecasts were within 45 degrees of the reference. The package includes selected voltage arrays, all 840 models, all forecasts, three figures, a past-sample reader, source hashes, and reproduction code. An independent solver checked every model. A second run matched all numerical arrays and result tables exactly. Fresh complete downloads checked all seven raw files and exactly reproduced all 3,360,000 stored voltage values. This is an exploratory extension on a reused cohort. The phase reference uses future samples. New sessions, hardware timing, behavior, and stimulation effects were not tested.

theta phase forecasting · SEEG · intracranial EEG · voltage history · ridge regression · phase error · brain-computer interface · temporal averaging

Admitted 5 citing publications

References

4
  1. usesFive recent voltage means reduced mean 50 ms offline theta phase error by 6.73 degrees after causal input filtering in seven SEEG rest records sci:sha256:7759bb4d76a110b5edc5d4732f6405386081aa44a0cecc61abb5248c0f3fd736

    We use all seven selected voltage arrays, the source provenance and retrieval code, the ridge fit, the offline phase reference, and the calibration and test blocks. We add ten history methods and three forecast horizons. The two inherited 500 ms paths reproduce 64,960 archived forecasts within 1.24e-12 radians.

  2. usesEarly frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa

    We retain all 28 adjacent SEEG pairs selected with early theta power in seven rest records. We use the pinned source commit, metadata, and full source hashes. Fresh complete downloads reproduce every selected pair and all stored voltage values.

  3. usesdoi:10.18112/openneuro.ds006065.v1.0.0

    The analysis uses selected voltage data from OpenNeuro ds006065 version 1.0.0; source commit, URLs, and file hashes are recorded in the package.

  4. doi:10.1038/s41467-025-59417-7

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