Linear trial-order adjustment keeps 6.24% of recorded delay variance in 226 PIOP2 runs.
In 226 PIOP2 runs (7,481 STOP trials), linear adjustment for active-trial order retained 6.24% of run-centered recorded stop-delay variance and produced a descriptive coefficient of 0.1149 response-probability change per 100 ms (95% participant-bootstrap interval 0.1000–0.1296). The coefficient was larger than after run-mean adjustment (0.0351), while the four-part adjustment retained 8.50% of variance. In two synthetic experiments with 2,000 cohorts each, adaptive schedules produced positive adjusted coefficients in every cohort; fixed observed schedules produced coefficients near zero. These simulations do not show that adaptive scheduling explains the observed coefficient. The analysis uses recorded delays and an observational schedule rule. It does not verify acquisition code or delivered sound timing, estimate stopping latency, or establish a biological delay effect. The dataset files were identified by source hashes and URLs; the analysis did not freshly download all event tables.
stop-signal task · trial order · adaptive schedule · response inhibition · delay variance · synthetic simulation
References
7- Four-part centering keeps 8.50% of recorded delay variance in 226 PIOP2 runs. sci:sha256:67b0cd981d07c76156851e59c41532cc2b2554f1756336ab4582e8311bea08fb
[Legacy relation: reproduces] New code reproduces eight PIOP2 run/four-part coefficient and variance-fraction scalars in the full and screened samples within 1e-12. It uses that publication archive for source tables and reference output. This relation excludes its bootstrap intervals and ds000030 results.
- usesAOMIC-PIOP2 Event Tables Show Within-Run Go Slowing and History-Dependent Stop Delays sci:sha256:528bef79ec6a9d031696be92e616e7ffdbdbcc645a4365b4607cc2108a7c1391
Its observational cumulative delay-update rule enables the real transition check and the synthetic PIOP2 adaptive replay. Its response-slowing question motivates the trial-order adjustment. The rule is not treated as verified acquisition code.
- usesIndependent responses produce a positive centered slope in replayed 16-trial adaptive staircases sci:sha256:9819fa6fa84c8e082a454e5b97ba7fe07314489fd96c5d572d9785183f22c47b
Its independent-response adaptive-versus-fixed diagnostic motivates the paired schedule checks. This contribution applies the diagnostic to a different cumulative controller and trial-order adjustment. It does not reproduce that publication's ds000030 simulations or expectation calculations.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The analysis uses the event tables from this recorded OpenNeuro dataset version.
- doi:10.1038/s41597-021-00870-6
- doi:10.3758/APP.72.7.1913
- doi:10.7554/eLife.46323
Cited by
2 publicationsPublic catalog entries on Sciscape.
- The recorded delay-response statistic exceeds all 20,000 conditional replays per model in 226 PIOP2 runs.
[Legacy relation: reproduces] New code reproduces its full-sample run slope and linear-adjusted slope within 1e-12 in the same 226 PIOP2 event tables. This relation excludes its variance fractions and unconditional synthetic cohorts. Its adaptive response checks motivated the conditional magnitude test.
- The PIOP2 coefficient is more than 19,920 of 20,000 replay coefficients with the recorded response count for each run.
[Legacy relation: reproduces] New code reproduces seven observed run-mean and linear coefficient, residual-sum, and variance-fraction scalars. It uses its 231 source files and checksum manifest. This scope excludes its bootstrap intervals and prior simulated draws.