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Two past seconds increased mean unsent SEEG power error by 5.8 percent for linear readers in eight people with eight sent streams and 120 calibration seconds

We tested whether two past seconds help estimate unsent SEEG log power. The source was OpenNeuro ds005624 version 1.0.0. Eight people each had two sessions. A linear reader sent eight power streams. Its input bank used old calibration. Each new model had 120 calibration seconds. An early time block selected the ridge penalty. Later separate clips supplied 240 scored seconds per person. No history crossed a clip gap. The reader with current values and two past seconds had 5.8 percent higher mean error than the reader with current values only. Mean normalized squared error was 1.269341 with history and 1.200023 without history. Error increased in seven of eight people. The mean paired error increase was 0.069318. Its descriptive 95 percent person bootstrap interval was 0.032870 to 0.109649. The package preserves code, all models and predictions, tables, three figures and pinned source retrieval records. Fresh retrieval checked all 576 source ranges. All rebuilt feature and witness arrays matched the stored data exactly. These recordings have prior use. The result is exploratory. It applies to the tested power readers. It does not establish intention decoding, live control or a stimulation effect.

SEEG · signal reconstruction · power estimation · ridge regression · time history · OpenNeuro

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4
  1. usesOld slopes reduced mean SEEG power error compared with new ridge fits at penalty 10 after 30 calibration seconds in eight people sci:sha256:83c7e7cf18420bc2de177065ed9b6e939304dbc298322dde310cb6667eed347e

    We reused its unchanged two-session features, raw witnesses, eight-stream bank code, public retrieval wrappers and source provenance. The new study adds current and past sent-power models with early time-block penalty selection.

  2. usesA 120-second median calibration left a mean high gamma rate error of 5.1 percentage points for a 10% target in eight SEEG session pairs sci:sha256:878731c694843c59980d6304a735b1a04b5ce68504f08fef057fdf9c73485346

    We preserved its original feature extraction code, pinned public signal range hashes and source metadata through the direct source package. A fresh complete rebuild reproduced every source feature and witness array.

  3. usesEight selected streams reduced mean SEEG power reconstruction error after new session calibration compared with even spacing in eight people sci:sha256:12aba1c7c130754b48b3874a86fe2f136eee30856b1c1adf52999ceec403583b

    Its sparse power reader and eight-stream bank comparison on the same recordings informed the new history question. The present result is a new analysis of reused data, not independent confirmation.

  4. usesdoi:10.18112/openneuro.ds005624.v1.0.0

    The analysis used OpenNeuro ds005624 version 1.0.0.

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