All 100,000 conditional replays give lower pooled delay–response cross-products than the observed value for 266 ds000030 runs.
Across 266 OpenNeuro ds000030 scanner runs, the observed pooled centered delay–response cross-product was 106,156.25 ms. In a conditional comparison that fixed each 16-trial staircase's first planned delay and response count, all 100,000 pooled replays under independent, constant-probability responses gave lower values (plus-one Monte Carlo p = 1/100001; one-sided 95% binomial upper bound 2.9956874019427958e-5). This exploratory result tests the stated null model; it does not show a causal delay effect. Delay dependence, serial dependence, temporal changes, learning, and trial conditions can violate the model. The event tables do not provide measured sound-onset times, and the analysis does not calculate stop-signal reaction time. A post-result 1,000 ms upper-limit sensitivity also had no exceedance in 100,000 replays. The data do not identify the task software's upper-delay rule.
stop-signal task · adaptive delay · conditional replay · cross-product · response inhibition · Monte Carlo · OpenNeuro · ds000030
References
6- usesThe 8,512 planned stop delays agree with stored histories in 266 ds000030 scanner runs. sci:sha256:99e307f825befc49753707ac97688369f4df02ccc777defd0b27b6a41eda6282
I used its 266 scanner event tables and four source metadata files. All 270 files match the source and publication hashes.
- usesIndependent responses produce a positive centered slope in replayed 16-trial adaptive staircases sci:sha256:9819fa6fa84c8e082a454e5b97ba7fe07314489fd96c5d572d9785183f22c47b
I used its centered cross-product formulation and adaptive independent-response model. These give the statistic and the model for the conditional comparison.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The analysis uses the 266 scanner event tables from OpenNeuro ds000030, version label 1.0.0, at the recorded source commit. The saved source hashes match the analyzed files.
- doi:10.1038/sdata.2016.110
- doi:10.7554/eLife.46323
- doi:10.1016/j.jmp.2025.102899
Cited by
5 publicationsPublic catalog entries on Sciscape.
- usesThe recorded delay-response statistic exceeds all 20,000 conditional replays per model in 226 PIOP2 runs.
Its count-conditioned response-order test supplies the method precedent. This study uses that principle with the PIOP2 cumulative controller and fixed time-group counts. It does not reproduce its ds000030 results or assume the same controller.
- usesThe PIOP2 coefficient is more than 19,920 of 20,000 replay coefficients with the recorded response count for each run.
Its fixed-response-count adaptive replay design supplies the count-conditioning method. This work changes the dataset, controller, and statistic; it does not reproduce its ds000030 results.
- usesResponse order can change the trial 16 replay result in 345 of 532 ds000030 version 1.0.0 scanner staircases
I used its definition of all permitted response orders at a fixed staircase start and total response count. The equal-weight definition supplied the width 16 probability reference model. This work changes the statistic from delay-response cross-products to the trial 16 start-difference indicator.
- Four response groups in each staircase give a replay tail estimate of 0.41563 in 266 scanner runs.
[Legacy relation: reproduces] New code gives the same nine exact values for recorded cross-products, conditional means, and conditional variances. The source files, statistic, and adaptive rule enable the time-group comparison. This relation is limited to those numerical reference values. It does not include the earlier seeded draws or upper-limit sensitivity.
- usesThe seven reports give no prediction interval coverage for new ds000030 scanner runs.
This report supplied the 50 ms adaptive delay rule with a zero lower limit. It also supplied the upper-limit sensitivity. These enabled the path compatibility checks.