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eess.SP · Signal Processingq-bio.NC · Neurons and Cognition

With 32 new calibration trials and C=0.1, keeping SEEG pairs gave lower mean key probability error than new pair selection in eight offline records

We tested contact choice after a cue duration change in public SEEG data. Both updated key readers used eight pairs and the same 32 new labeled trials per person. The test used 711 later trials from eight people. At fixed C=0.1, mean Brier score was 0.2769 with earlier pairs and 0.2833 with new pair selection. The mean difference was +0.0064. Its 95 percent person bootstrap interval was -0.0085 to +0.0203. The paired sign-flip reference gave p=0.4219. The data show no clear probability error gain from new pair selection. Both updated readers had greater mean error than a constant reader. The effect direction changed at C=0.01. Pair overlap was low across conditions and within one condition. The within-condition check was added after the primary results. This is an offline study of a reused epilepsy cohort. It cannot establish online control or a cue duration cause. The package preserves features, raw audit samples, code, all readers and predictions, three figures, and retrieval instructions. Fresh signal checks covered 24 public raw ranges and 37,530 feature values.

stereoelectroencephalography · SEEG · brain-computer interfaces · contact selection · calibration · Brier score · offline decoding

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References

6
  1. usesSelection for key identity had lower mean later key error than activity selection in eight offline SEEG records with tuned readers sci:sha256:8f807b882f06ccced0e3c3ddf31d99bf21b9b7ca83164353fda7c8a2ab07e7f8

    We used its verified all-pair feature archive, source metadata, binary key mapping, pair ranking rule, and separate EDF and spectral check code. We changed the question, calibration groups, and comparison to test the added value of new pair selection after a cue duration change.

  2. usesSEEG key decoding from the first fast block had a mean AUC of 0.54 in later slow blocks in six patients sci:sha256:6407f4f45a2db401fef737a5f946c2656d5af25ba66dbcab30e4417db2c4fc72

    Its earlier frozen key-reader test across cue duration conditions motivated a test of new calibration and new contact choice. We also used its report of a source key-timing concern to specify an omission check for sub-11.

  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 inherited its original feature extraction and pinned public EDF retrieval recipe through publication 80063b09-a65a-4296-921c-07de4bab14ca. The new package preserves that recipe and the source data conventions.

  4. usesMaps from 16 trials in a new task condition gave 0.028 bits more mean loss than matched earlier maps in eight fixed SEEG decoders sci:sha256:e9582e14a190ec927859cbde38af95900b2c35991254528af5c062792a9ebe4a

    We used its first-two-condition-segment design, reservation of 32 new trials, and one-trial boundary gap to define the later tests. Our target is actual key identity, and our comparison changes pair selection while matching the new labels and model fitting rule.

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

    The analyzed features and trial metadata come from OpenNeuro ds004473 version 1.0.2.

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

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