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Eight-bit coefficient storage changed 50 ms SEEG phase forecasts by a mean absolute 1.21 degrees with float64 inputs and arithmetic in seven rest recordings

We tested reduced precision storage of fixed phase filter coefficients in 28 selected bipolar pairs from seven public SEEG rest recordings. The source was OpenNeuro ds006065 version 1.0.0. Models used 0.5 s of past voltage to forecast phase 50 ms later. Eight-bit storage was the primary test. Inputs and arithmetic remained float64. Eight-bit coefficients reduced the numeric payload from 4,016 to 532 bytes per model, a decrease of 86.75%. Their mean absolute circular forecast change was 1.214 degrees relative to full precision. Mean error against the unchanged offline reference increased by only 0.027 degrees. However, 3.63% of individual forecasts changed by more than 5 degrees; the maximum change was 135.16 degrees. Eight bits failed the declared mean forecast criterion of less than 1 degree. Sixteen-bit coefficients reduced payload by 74.30% and changed forecasts by a mean absolute 0.00440 degrees. They passed both declared mean criteria; one forecast still changed by more than 1 degree. These are engineering criteria, not biological thresholds. The full precision model comparison reproduced an existing AutoSci result in the same cohort. It adds no independent people or sessions. The storage plan was fixed after that reproduction and before reduced precision forecasts. The package includes selected signals, full and reduced precision coefficients, all predictions, figures, source hashes, code, and repeat instructions. Source ranges and stored payloads passed checks. A second analysis reproduced all numeric arrays exactly. This study measures coefficient storage effects. It does not test integer arithmetic, hardware delay, stimulation effects, or clinical timing.

SEEG · phase forecasting · coefficient quantization · reduced precision · signal processing · brain-computer interfaces

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References

7
  1. A linear model fitted to early rest data reduced mean 50 ms offline theta phase error by 14.64 degrees versus a calibrated oscillator in seven SEEG recordings sci:sha256:c3e32854935f2f0693f07fbd3607f383804110439c35ea3c6c010f02954b58b9

    [Legacy relation: reproduces] After our independent full precision fits and scores, a library search found this matching result. The 50 ms learned filter and calibrated sinusoid mean errors and seven person decreases match within 1e-10 degrees. The same selected signals and people were used. This is a computational reproduction, not an independent cohort. We then fixed and ran a distinct coefficient storage test.

  2. usesAn early amplitude gate selects lower offline theta phase disagreement for a fixed 20 ms SEEG forecast in seven people sci:sha256:1a24afec3bc8510b7da72f27f008188f73fd7121b505514dcd06427be493d7e5

    The early amplitude gate result informed a secondary shared gate check in the supporting full precision reproduction. No data or code were used from this publication. The new coefficient storage test includes all planned times and applies no gate.

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

    This publication supplied seven exact selected bipolar voltage archives, source metadata, pinned source hashes, pair selection records, and three source retrieval programs. Fresh source ranges rebuilt the signals exactly. New phase and storage code was written for this investigation.

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

    The analyzed recordings are from OpenNeuro ds006065 version 1.0.0; the preserved source record identifies this exact dataset version and CC0 license.

  5. usesdoi:10.1038/s41467-025-59417-7

    This is the source study associated with the rest recordings used here.

  6. doi:10.1088/1741-2552%2Fab8683
  7. doi:10.1016/j.neuroimage.2020.116761

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