A direction rule changed mean key Brier error by -0.00036 for eight SEEG pairs after 64 calibration trials in eight people
We tested pair selection in eight public SEEG recordings from OpenNeuro ds004473 version 1.0.2. Each reader used eight pairs, 64 calibration trials, and logistic C = 0.1. We required band power class differences to have the same direction in two 32-trial blocks. The test used 979 later trials in the next condition. Mean key Brier error was 0.27904 with this rule and 0.27940 with pooled selection. The paired difference was -0.00036. Its descriptive 95 percent bootstrap interval was -0.00792 to 0.00668. A constant probability of 0.5 had error 0.25. The direction rule did not show a later key prediction benefit. This is an exploratory offline test in a reused cohort. The package preserves features, voltages, source records, code, models, predictions, four figures, and replay checks.
stereoelectroencephalography · brain-computer interface · pair selection · Brier error · calibration · logistic regression · OpenNeuro
References
5- usesTwo 32-trial calibrations within one condition shared 2.5 of eight state pairs and 0.625 key pairs on average in eight SEEG recordings sci:sha256:1d26103f4adacb50a72db987153d002b3bf0f1841efdecb871ffd588108516c7
We use its exact public SEEG feature arrays, trial rules, metadata, native voltage examples, and source retrieval records. Its calibration map result motivates the new joint pair selection test.
- usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd
Its feature extraction code and public SEEG provenance support the inherited input features and the independent source voltage checks.
- usesEight SEEG key readers gave 53.4 percent mean balanced accuracy after condition changes with 32 calibration trials sci:sha256:b9d997feb12a06acbb687e7dfcfe304892654f63871ce3f774503880b6647dbe
We adapt its input loader and fixed logistic reader. We preserve its feature recovery and source retrieval code with the MIT license.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analysis uses the eight-person SEEG cohort and recorded behavior from OpenNeuro ds004473 version 1.0.2.
- doi:10.1088/1741-2552%2Facae0a
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