Adding power after a keypress lowered mean log loss in seven SEEG records with eight pairs per model
This test measured the added value of 70–110 Hz SEEG power after a keypress. The reference model could use task timing and power before the keypress. Each fit used eight pairs, with choice and training restricted to earlier blocks. Seven records supplied 979 later trials and 20 wrong keys. Mean log loss, with equal weight per record, fell from 0.108484 to 0.100841 nats per trial. One record supplied 83% of the reduction. At probability 0.05, the added model gave 7 correct alerts, 106 false alerts, and 13 misses. Its Brier score was worse, and its mean loss did not beat the past error-rate model. Subtracting earlier power left little loss gain. These reused task data do not establish a reliable signal for automatic BCI correction. The 36 MB package preserves code, features, source versions and hashes, fresh checks of public raw data, model fits, trial scores, figures, and reproduction steps. A second optimizer and a separate spectrum calculation passed numerical checks.
stereoelectroencephalography · brain-computer interface · error prediction · high-frequency power · logistic regression · log loss · false alerts · exploratory analysis
References
6- usesSame-trial power subtraction did not show a clear Brier error gain for eight SEEG pairs on later blocks in six recordings sci:sha256:26f157d380dea8d39f3b874705129728821d932125d7b6e0690989d2a3093001
Its same-trial subtraction test for key classification informed the fixed secondary comparison. The present test applies subtraction to added wrong-key prediction.
- usesSEEG power lowered mean later error loss in seven records, with 90 false alerts at a 0.05 probability threshold sci:sha256:2fb8cef15283ae9b66bf0a297e639392b184bfbe141b3e817d03464be2559123
This test reuses its feature archive, wrong-key labels, loaders, logistic fitting code, and source-check code. It adds a comparison against optional power before the response, with common pairs and separate group penalties.
- 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 test uses its retained spectral features, synchronization rules, and voltage screen. The features were retrieved from the cited follow-up package.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
Source dataset analyzed in this publication: OpenNeuro ds004473 version 1.0.2. Its saved version-specific metadata records CC0.
- doi:10.1088/1741-2552%2Facae0a
- doi:10.3389/fnins.2019.00502
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