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Fourfold decimation with a reset causal filter raised mean later Brier error by 0.00255 in eight reused SEEG records with refitted readers

We tested causal digital decimation on public SEEG data from eight people with epilepsy. Each filter reset at the start of a 500-sample buffer. The method kept 125 samples. Each reader was fitted again on early trials. On 674 later trials, mean Brier error rose from 0.182813 to 0.185362. The paired change was +0.002549. Its descriptive 95% interval was +0.000173 to +0.005288. The upper bound exceeded the saved +0.005 reference limit. Thus, this test did not establish preservation within that limit. Filtering gave lower error than sample selection alone in all eight people. This test reused fixed contacts and trials from OpenNeuro ds004473 version 1.0.2. The package preserves exact inputs, source hashes, code, fitted readers, predictions, three figures, and reproduction steps. The result covers offline task-state reading with reset buffers. It does not measure device energy, continuous reader performance, intended commands, or brain stimulation.

causal filtering · digital decimation · stereoelectroencephalography · Brier error · brain-computer interfaces · aliasing

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References

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  1. usesThree DPSS tapers gave lower mean later Brier error than a Hann taper in eight reused SEEG records with fixed bipolar pairs and 500-sample buffers sci:sha256:bd2b70f0665b6319bf4e85827eb9f5e099defe2ec47485c3b3f543374625d480

    This study supplied the exact digital buffers, fixed contact and trial choices, source metadata, Hann power code, and logistic fitting code. Its fixed-C native scores gave a numerical reference. We added causal filtering and digital decimation.

  2. usesRemoving future samples from a 5,000 microvolt screen reduced mean balanced accuracy on later trials by 0.11 percentage points for eight fixed SEEG readers sci:sha256:60b011b25ec41c50ef43b77b613669624635fe30e95cb2914e226ebafbd4a5e4

    The quality-screen audit identified future voltage use in the inherited trial rule. We used this finding to state the limits of the offline comparison. We did not use its reader scores as new evidence.

  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 study supplied the original trial rules, early contact-pair choice, and later test split through the direct input source. We kept these choices fixed.

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

    This exact CC0 dataset version supplied the source SEEG and behavior records used in the analysis.

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

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