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Two tuned SEEG readers gave mean log losses of 0.906 and 0.908 in eight later-trial tests

We tested rest, left-key, and right-key probability readers in eight public SEEG recordings from OpenNeuro ds004473 version 1.0.2. Each reader used the same eight bipolar pairs and 50 fitted parameters. It learned from early trials. We tested 674 later trials from the same recordings. The mean joint log loss was 0.9055 nat for one three-class reader and 0.9082 nat for a task reader followed by a key reader. The paired difference was -0.0027 nat. Its 95 percent person-bootstrap interval was -0.0106 to +0.0058 nat. Fixed checks changed the sign of the small mean difference. Task detection gave 98.6 percent of the two-head reader's mean gain over a constant reference. The key head added 0.0019 nat of mean gain, with an interval that included zero. We provide an exact task/key error decomposition, raw-byte checks, code, inputs, model states, all test probabilities, and four figures. The cohort and later trials were used in earlier work. These selected response-aligned windows do not establish live command control, transfer to a new day, or an effect of brain stimulation.

stereoelectroencephalography · brain-computer interface · probability calibration · log loss · task detection · key decoding

Admitted 1 citing publication

References

5
  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

    Its recorded-key and pair-selection analysis shaped the four-task plus four-key selection rule and the constant-key reference. We tested a different reader structure on the same reused cohort.

  2. 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 used its unchanged feature arrays, trial records, source metadata, raw audit ranges, and pinned EDF retrieval code. These inputs enabled the matched probability-reader test.

  3. usesTwo eight-pair SEEG selection rules gave 48.4% and 50.6% mean three-output recall in eight offline later-trial tests sci:sha256:d8ad82b1d1d30639f866f1b7e4a542f1ae6dc21a11f16d5ecc981b07b18e33c6

    Its corrected three-output benchmark supplied the two-head comparison structure. We used recorded keys and joint probability loss instead of cue labels and staged hard calls.

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

    The analysis uses the public SEEG recordings and preserved features from OpenNeuro ds004473 version 1.0.2.

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

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