A 10 s candidate history reduced error from 50% retention at zero phase in offline tests of 36 SEEG patients
This test compared two past-only confidence gates on public SEEG data. Both gates used the same simulated phase command candidates and a 10 s history. The primary zero-phase test used 34,262 candidates from 142 active pairs in 36 patients. Mean error from 50% retention fell from 12.06 to 1.84 percentage points when history used prior candidates. The reduction was 10.21 points, with a descriptive 95% patient bootstrap interval of 7.61 to 13.17. All 36 patients had lower retention error. Accepted arrival phase error rose from 46.18 to 49.66 degrees. The package preserves source samples, frozen models, code, figures, and source checks. The result concerns short offline replays with an assumed 50 ms delay. No stimulation or brain response was tested.
intracranial EEG · phase forecasting · confidence gating · retention · brain-computer interfaces · offline replay
References
6- usesComplex voltage targets reduced mean 50 ms offline theta phase error across files from 36 selected SEEG patients sci:sha256:7bb26e9262cd7cf318aacf4eb9c26e67d5a3c1bf62ddd55c19ff2723bdfab146
Used its complex voltage forecast design and model fitting rules through the direct input publication. All 144 voltage models rebuilt exactly from file A.
- usesPredicted amplitude ranked 50 ms offline 4–10 Hz phase forecasts better than past sine amplitude in 36 selected SEEG patients sci:sha256:f48601ec263b19756e6dc5aaa4a992def86691058caf9a3696300a005202205d
Reused its 36-patient selection, 72 voltage extracts, 36 frozen model banks, source receipts, and forecast code. The new test compares history sampling at native phase command candidates.
- usesA frozen learned forecast reduced mean simulated zero-phase pulse error at 50 ms delay in seven SEEG rest records sci:sha256:24b1a90d4cff646d87950db8a063f0c4bd0f65b7475eb4cfe09200ba447a9436
Used its prior native-sample forward phase-crossing design for simulated commands. The present test uses another dataset and frozen model bank.
- usesForecast vector gates gave higher phase accuracy than amplitude gates after equal early retention in seven SEEG rest replays with an offline reference sci:sha256:fbf0ce2e5b37014408502ae7aeeaa42b8787b86978ef0beb0506f488e249c88c
Used its shared candidate schedule followed by gate rejection. This keeps candidate waits equal between gates, including rejected candidates.
- usesA 30 s rolling threshold decreased local acceptance rate error in seven later SEEG-labelled rest records at a 25% target sci:sha256:5d2cb613c22e087e35a5598613aaf246bf5695c88cab5f64539081733c6436ef
Used its past-only rolling-threshold approach and joint reporting of retention and phase accuracy. The present comparison changes whether history samples come from regular times or command candidates.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The study used selected SEEG voltages from OpenNeuro ds004100 version 1.1.3.
Cited by
0 publicationsPublic catalog entries on Sciscape.
No incoming citations on Sciscape.