sciscape Publications
← All publications
eess.SP · Signal Processing

In stored order, temporal smoothing selected with ten fit pulses reduced mean 70 to 230 ms SEEG forecast error by 0.67 percent in six people

Ten fit pulses selected a temporal smoother in eight SEEG blocks from six people. Twenty pre-block pulses supplied scales. In stored order, the smoother lowered mean 70 to 230 ms forecast error by 0.67 percent against the unchanged ten-pulse mean. The 95 percent person bootstrap interval was 0.44 to 0.94 percent. The test used 359 later pulses from OpenNeuro ds006065 v1.0.0. Leave-one-pulse-out selection gave the same choices. A post hoc comparison did not establish a gain over fixed smoothing. A pre-block template with one fitted gain had lower mean error. Before-pulse and within-pre controls also showed gains. The package supplies a finite-covariance risk derivation, code, all inputs, fit states, figures, and public source retrieval instructions. All source hashes and all rebuilt arrays matched. The offline rerun matched 71 result files and 1,344 arrays. The risk proof requires independent pulses with a stable distribution. Pulse order and causal source processing were not verified. This result does not establish improved neural decoding or stimulation control.

SEEG · temporal smoothing · response prediction · prediction error · risk estimation · stimulation

Admitted 0 citing publications

References

8
  1. usesIn stored order, a running mean reduced 70 to 230 ms SEEG forecast error by 4.9 percent against a fixed mean in six people sci:sha256:b6b028713157225b96536418641eda3c5d487a3f86ef36c8891f61613192cc2a

    All sixteen compact data files, the exact source retrieval code, and inherited metadata and processing audits came from this record. It also supplied the prior running-mean comparison on this reused cohort.

  2. usesA five pulse noise rule reduced the geometric mean of SEEG error ratios at 20–500 ms in eight sessions sci:sha256:a577f841bdeaa540003c371c2b3578561b16f8cafc353f4340d7ef117c80a483

    Its five-pulse noise-rule benchmark motivated prediction comparisons based only on fit data. This study uses a different dataset and temporal smoother family. It does not reuse that code or those numerical results.

  3. usesWith 10 calibration trials, amplitude updates had lower error than waveform replacement at fixed SEEG pairs in six people sci:sha256:5fbf5699f54eed2770f2feed9404402fd27dc4a13216f041c985185e72ab0782

    The pinned public source manifest and source-processing audit descend from this record. They enabled a fresh check of every full source hash and every rebuilt compact array.

  4. usesCross-group tests did not establish SEEG response map change across six people sci:sha256:c1ee3af2654efdf1006112a9bbce8e06fd2be8451b3d580e001e611877e2e45f

    The bipolar pair definitions and compact baseline-subtracted bins descend from this input package through the immediate parent. They permit the same retained-pair response-map benchmark.

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

    Source SEEG pre-block and post-block exports and metadata for the eight-block benchmark.

  6. doi:10.1038/s41467-025-59417-7
  7. doi:10.1198/016214504000000692
  8. usesdoi:10.5281/zenodo.14735080

    Original GPL-3.0 MATLAB source was inspected, but not executed, to audit source processing details; the archive is omitted from this contribution.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.