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Calibration range limits reduced 20 to 500 ms donor SEEG error at penalty one after five fit pulses in eight people, but a fixed template had lower error

We tested recovery of a hidden SEEG shaft after stimulation in eight people from public OpenNeuro ds004696 version 1.0.1. Five early pulses fit each model. All later pulses tested it. A new rule kept each donor score within its five-pulse fit range. At a fixed relative slope penalty of one, equal-person mean normalized error fell from 1.5230 to 1.2326 in the 20 to 500 ms window. The reduction was 19.1 percent, with a descriptive person bootstrap interval of 12.1 to 25.9 percent. Error fell in all eight people. The fixed template had error 1.1731. Clipped error remained 5.1 percent greater than template error. Correct pulse matching gave little benefit over shuffled donor input. The test had 317 conditions and 1,183 condition/readout instances. All 4,732 reused signal matrices matched a fresh raw reconstruction exactly. The package preserves code, matrices, source event maps, model coefficients, pulse errors, three figures, raw retrieval receipts, and checks. This was an offline test of simulated known shaft loss on reused people. It did not test future prediction, actual shaft failure, or a live BCI.

SEEG · intracranial EEG · stimulation response · calibration range · signal reconstruction · brain-computer interface

Admitted 1 citing publication

References

4
  1. usesA fixed donor model raised 20–500 ms SEEG error for simulated shaft loss after five fit pulses in eight people sci:sha256:3e33bfe27bc26f0454cbd5549be0c04ec6375d090b734f8ff6ccd7c5bec0e456

    This supplied the fixed scalar donor feature, relative ridge slope, and gain projection. Its range-exceedance result motivated the new clipping comparison. Our raw-derived cohort and all-later split differ from its processed-data cohort.

  2. usesTraining energy normalization gave a positive mean five-pulse error gap for 20 to 500 ms responses under uniform partitions of eight SEEG recordings sci:sha256:fd555e675fb2e6974034d1ef8af9a1f9e4117cba9f6897bd6a099b756ffd1405

    This supplied all-pulse signal matrices, native examples, source event maps, metadata selection code, and complete MEF retrieval records. We checked every reused matrix against a fresh raw reconstruction and used it to test calibration range limits.

  3. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analysis uses OpenNeuro ds004696 version 1.0.1; the exact release and CC0 license are recorded in the importer metadata and source manifest.

  4. doi:10.1523/JNEUROSCI.2201-22.2023

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