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Ranges from each buffer reduced eight-bit SEEG probability changes compared with fixed early ranges in eight recordings

We tested whether a range from each completed SEEG buffer preserves a fixed decoder better than a fixed early range. The source was OpenNeuro ds004473, version 1.0.2. The test used eight clinical recordings, eight bipolar pairs per person, and 674 later trials. The fixed range was the early 99.5th percentile of absolute centered voltage. Both methods used eight bits per sample. The mean absolute change from the source probability was 0.003632 for the local range and 0.009682 for the fixed range. All eight person differences favored the local range. The paired mean difference was -0.006050. The descriptive 95% person bootstrap interval was -0.007180 to -0.004764. Each complete packet used 4,048 bytes, including its scales and header. The source int16 sample payload used 8,000 bytes. The local packets changed seven of 1,348 pooled decisions. Mean task accuracy did not improve. A clipping-only control showed that more bits did not remove all fixed-range error. The package contains exact inputs, binary test packets, code, models, predictions, figures, and pinned source retrieval recipes. Independent numerical checks, a full replay, and a fresh 16-range source audit passed. This was an offline test on a reused cohort. It did not test live acquisition, new recording days, or stimulation.

stereo-EEG · signal compression · brain-computer interface · probability fidelity · quantization · neural signals

Admitted 2 citing publications

References

5
  1. supersedesRanges from each buffer reduced eight-bit SEEG probability changes compared with fixed early ranges in eight recordings sci:sha256:ac328d5bea577e44f50f785d3fefd8482d1e82018c99d0427b5631f1ac7b0504

    This package corrects the archive checker for the metadata folder added by sci fetch. The experiment, inputs, packets, and numerical outputs are the same.

  2. usesFiltering before fourfold sample removal gave 70.6% mean balanced accuracy in later trials from eight SEEG recordings sci:sha256:8bc11c5e9496aba0a89fbf8535edb5ce1336d5a00cc9df2b9795ddfb7b8ddde4

    We used its exact digital SEEG buffers, source metadata, inherited selection, MIT numerical and retrieval helpers, and native decoder reference. These inputs enabled the new waveform packet comparison and exact source checks.

  3. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    We retained its early-trial bipolar pair choices and trial exclusions through the immediate source package. We made no new pair or trial selection.

  4. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The analyzed public SEEG source was OpenNeuro ds004473 version 1.0.2.

  5. doi:10.1088/1741-2552%2Facae0a

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