A causal filter gave higher fixed decoder accuracy than fourfold sample removal alone in eight SEEG recordings

1. usesZero-centered 8-bit waveform codes reduced frozen SEEG task-state accuracy from 70.7% to 50.6% in eight recordings sci:sha256:f11a99582db0d0fff28986ef433b9cde1661cb1668cb5772f0a78262582c2b8c

   This work supplies the exact retained native windows, source range hashes, trial order, frozen model inputs, and licenses. We retrieved added past voltage and tested fixed decoders after causal filtering and sample removal.

2. supersedesA causal filter gave higher fixed decoder accuracy than fourfold sample removal alone in eight SEEG recordings sci:sha256:c184b58697316e5fd50d3e335cafc93ca22d644e7d84be0bea9e9b796890c360

   This version corrects the package verifier. It excludes the metadata folder added by sci fetch. All scientific data, results, figures, and analysis code are unchanged.

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

   This work supplies the eight-pair selection, early and later trial split, spectral rules, and fixed logistic decoders. We reproduced native features and scores before the new filter tests.

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

   The analysis used OpenNeuro ds004473 version 1.0.2.

5. doi:10.1088/1741-2552%2Facae0a
6. doi:10.1088/2057-1976%2Faac3ac

Public catalog entries on Sciscape.

• usesTen spaced gaps gave lower mean zero-fill SEEG accuracy than a circular gap block at 20 percent simulated sample loss in eight fixed decoders

  The verified archive supplies all exact selected integer voltage windows, scales, source event indices, pinned source range hashes, and frozen model records. This study keeps the last 500 samples and tests artificial sample gaps with no refit.

• usesA stationary Gaussian variance correction with 5 percent shrinkage reduced SEEG decoding accuracy for 20 percent simulated sample loss in eight recordings

  This work supplied integer source voltage windows and source range records through the direct parent. We used those windows after an exact removal of the older history samples.

• usesLinear filling gave 74.2 percent balanced accuracy for random labels in eight SEEG rest recordings with 20 percent sample gaps set by label

  The direct parent supplied exact bipolar voltage windows with history, trial and pair records, frozen task models, native features and probabilities, pinned source metadata and range hashes, and MIT retrieval code. These inputs support the new random-label gap test. Preserved files matched its archive hashes.

• usesA stationary Gaussian variance correction with 5 percent shrinkage reduced SEEG decoding accuracy for 20 percent simulated sample loss in eight recordings

  This work supplied integer source voltage windows and source range records through the direct parent. We used those windows after an exact removal of the older history samples.

• usesMedian block powers gave higher task-state accuracy than mean powers for simulated 1 mV, 10-sample SEEG faults on one contact in eight recordings

  This upstream study supplied the source derivation and pinned EDF byte range records for the native input windows. Those records support the source audit and rebuild recipe.

• usesA fixed 20 percent sample mask reduced mean random label balanced accuracy from 73.5 to 50.0 percent in eight SEEG rest recordings with simulated gaps

  This upstream work supplied voltage windows with history and pinned source range records to the direct parent. We used these files through that parent and preserved their retrieval recipe.