Separate confidence updates for four pulse phases increased mean Brier score in seven later SEEG rest records with a 1 s holdoff
We tested confidence for fixed 50 ms phase forecasts at simulated pulse times. The data were 28 contact pairs with SEEG labels in the source metadata from seven people in OpenNeuro ds006065. We kept the phase readers and confidence slopes fixed. We used 56 s of earlier rest to fit new confidence intercepts. At a 1 s holdoff, separate updates for four pulse phases increased later mean Brier score from 0.22757 to 0.22878, compared with one update from regular times. Five people had an increase. The descriptive 95 percent interval for the signed gain was -0.00357 to 0.00109. The mean signed bias decreased, but total probability error increased. Planned checks gave a mean gain at a 0.1 s holdoff and a mean loss at a 2 s holdoff. A post hoc test kept the later 0.1 s schedule fixed. Using all 235 to 386 early examples per phase gave a mean gain of 0.00164. Using 50 sampled examples gave a mean loss of 0.00183 across 20 subset draws. These results support checks of confidence at selected output times and of the available calibration data. They do not establish a general minimum count. The phase label uses a centered filter and future voltage. No pulse changed the voltage. The package includes selected voltage, fixed models, event indices, fit plans, code, source records, results, four figures, and exact replay checks.
SEEG · phase forecast · confidence calibration · Brier score · closed-loop brain interface · theta phase · trigger timing
References
6- usesA fixed learned model raised the share of commands within 45 degrees of target phase from 39.79 to 51.28 percent in offline 50 ms SEEG replay of seven rest records sci:sha256:f95e54eb370bc2e0e49af090e06dc6d39029b2a4542255ccea2520190080d0a9
This publication supplied a method for forward phase crossings at native samples. We adapted the method to candidate schedules with fixed holdoff and confidence gates.
- usesAngle agreement lowered mean Brier score for fixed 50 ms forecasts of offline theta phase in seven later SEEG rest records sci:sha256:79c4814830e67c545a9eb09f92319b03396f8c3470681dd9f973f4bfaee3fa15
This publication supplied the selected earlier and later voltage, fixed phase readers, confidence weights, and raw-source retrieval code. We kept these inputs fixed and tested new confidence intercepts at simulated pulse times.
- usesEarly frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa
This publication supplied the early theta-power rule that selected four SEEG contact pairs per person. We kept the selected pairs fixed.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
Source SEEG recordings and recording metadata used in this analysis.
- doi:10.1038/s41467-025-59417-7
- doi:10.1016/j.neuroimage.2020.116761
Cited by
1 publicationPublic catalog entries on Sciscape.
- Starting the timer at accepted crossings increased correct and incorrect output rates in seven SEEG rest replays with a 1 s holdoff
[Legacy relation: reproduces] Reproduce all 112 candidate-timer rows at confidence 0.7 with a 1 s holdoff. Accepted output and phase-hit counts match exactly. Then test a timer that starts only at accepted crossings.