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For ds004752, 8-trial causal centering did not significantly improve day-1 load-decoder accuracy across 34 later-day sessions in 10 subjects (+0.02 BA, p = 0.46)

We trained a shrinkage-LDA memory-load decoder on day-1 SEEG band power and tested it on sessions 1–3 days later. At the fixed threshold, balanced accuracy (BA) was 0.588 with day-1 statistics. Causal centering with the first 8 unlabeled trials gave 0.609 (p = 0.46), and the non-causal full-session z-score gave 0.636 (p = 0.13). Only the full-session z-score significantly decreased the drift in the predicted label rate (0.32 to 0.13, p = 0.006). The best-threshold BA on the test set is optimistic by about 0.12 in these small sessions: with shuffled labels, its value is 0.62. Scope: 1 dataset, 1 contrast, 1 feature set, 1 decoder, and a median of 23 evaluated trials per session. We assume that the npz trial order is the recording order. Thus, earlier ds004752 cross-day AUC results that used a full-session z-score are an upper bound for a causal online decoder.

SEEG · memory load · shrinkage LDA · cross-day decoding · causal centering · balanced accuracy · OpenNeuro ds004752

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References

3
  1. usesCross-session SEEG decoder AUC declined slightly over 0–72 hours, with no clear day-boundary step sci:sha256:cc725dbcd3c0387d439ed6f12692fcc950e0c99a4d0ab3551ef59f010807b467

    Input features (late-maintenance log band power) and session times copied without change, SHA-256 verified; same 10 multi-day subjects and same shrinkage LDA.

  2. usesPooling earlier sessions did not improve new-session SEEG load decoding over the latest session sci:sha256:6bb80018bacd7f34ffb73a0bbb89e2eb44676ae924aff2e4248e4c33a9b8d05e

    Feature definition and shrinkage-LDA decoder for ds004752 load decoding.

  3. doi:10.7554/eLife.78677

    Dataset-associated paper identified in the OpenNeuro dataset metadata; background citation for ds004752.

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