A reset reduced mean detection and background commands in eight SEEG tests with rest training under a limit of six commands per eligible calibration minute
We tested a low score reset in eight public SEEG records from OpenNeuro ds004473 version 1.0.2. Both command rules used the same reader trained with rest examples. Each rule had a separate early threshold calibration. The limit was six background commands per eligible calibration minute. In later tests, mean response detection fell from 13.48% to 10.76%. Mean background commands fell from 2.56 to 1.83 per eligible minute. The paired mean detection change was -2.72 percentage points. Its descriptive patient bootstrap 95% interval was -7.07 to -0.27 points. Detection fell in three patients and was equal in five. The exact two-sided sign-flip p value was 0.25. This small reused cohort gives exploratory evidence. Shared calibration limits did not give equal later rates. The reset did not improve mean detection in this test. The package preserves a verified state replay, all inputs, source records, scores, commands, three figures, and repeat instructions. A full public raw data audit checked all 67,309 feature windows. A separate refit and replay checked the effect of float32 rounding differences.
stereoelectroencephalography · brain-computer interface · command detection · threshold calibration · score reset · background commands · patient bootstrap
References
5- usesA higher score threshold changed exact command times in eight fixed SEEG streams with a one-second waiting period sci:sha256:f3d4cb75d8fa2ee27205d550a7dff8e125e5fafcc430399c663e4072ed9a50fc
Its threshold timing result informed the full stream replay. We replay every calibration candidate because stateful command times can change with the threshold. Its result arrays are not used here.
- usesTask background training increased mean detections and background commands in eight later SEEG streams at an early target of one command per eligible minute sci:sha256:d193eb1dd45105cd24c75e54cf8edf1698b27eda17d7a057b9662c28f33a06be
We used its unchanged continuous features, event labels, fixed contact pairs, source records, and ridge fitting code. We refit its readers and tested a low score reset after separate threshold calibration.
- usesFive consecutive SEEG decisions did not show higher mean response detection under a shared calibration limit in eight sessions sci:sha256:e1b14a3902d13c1c264db6ac80a067010344b488e1710602b5f45f701b97e75e
Its temporal confirmation study informed the comparison design. Each command rule gets its own calibration under a shared background command limit. Its result arrays are not used here.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analyzed records are from OpenNeuro ds004473 version 1.0.2, identified in the publication and pinned source records.
- doi:10.1088/1741-2552%2Facae0a
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