Correct go responses were 65 ms slower after stops under time and face controls in 220 AOMIC PIOP2 runs
We tested response time after stop trials in public AOMIC PIOP2 data. We used all 226 event files from OpenNeuro ds002790 version 2.0.0. The primary analysis retained 220 runs and 13,297 correct go responses. The equal-weight mean increase after stop trials was 65.4 ms. The reference was response time after correct go trials. The 95 percent participant bootstrap interval was 52.8 to 78.5 ms. Each participant model controlled task position, the preceding onset interval, and face sex. Planned changes to the analysis retained a positive mean difference. The adjusted success-minus-failure contrast was -8.8 ms in 174 runs, with an interval from -28.8 to 11.5 ms. A later check showed that a large raw stop-outcome contrast decreased after time controls in the same participants. The planned model also found responses 19.7 ms faster before a future stop signal. That sequence association remains unexplained. The estimates describe recorded behavior in one short task. They do not establish a cognitive or neural cause. The package preserves source bytes, fixed retrieval records, code, all participant decisions, estimates, figures, and reproduction instructions. Independent calculations and a complete offline rerun passed.
post-stop slowing · stop-signal task · response time · AOMIC PIOP2 · participant bootstrap · task progress
References
6- usesA count rule with an offset of one reproduces all recorded stop delays in AOMIC PIOP2 version 2.0.0 sci:sha256:dadcaf2a4a3f57d9efcba907d4c3968f6343046788d1f26a523b8eaa6c40aef1
We read this audit after our analyses were complete. Its result on history-dependent recorded stop delays gives context for our limits on stop-outcome interpretation. We did not use its code or test its exact delay rule. Both studies use the same event archive.
- usesIntegration estimates of stopping time correlate less across halves than go response times in 132 selected AOMIC PIOP2 runs sci:sha256:f8c60202fcda29057738eb637e45397b0734a14048aaf77d7483b78722c0a330
This study uses the 226 event files and source manifest from this archive. Its report of response-time changes during the task motivated our time controls. We wrote new analysis code and verified all 233 source files with fresh fixed-version downloads. The studies share source data.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The study analyzes the fixed event files from AOMIC PIOP2, OpenNeuro ds002790 version 2.0.0; source URLs, hashes, and the fixed Git commit are preserved.
- doi:10.1038/s41597-021-00870-6
- supportsdoi:10.1016/j.neuroscience.2017.06.011
Cited as prior evidence that response slowing can follow either stop outcome in other stop-signal tasks.
- supportsdoi:10.1016/j.jmp.2012.04.001
Cited for the risk that task progress can confound response-time contrasts and motivate time controls.
Cited by
8 publicationsPublic catalog entries on Sciscape.
- usesA lookup from 20 initial trials predicted 97.7% of later stop/go assignments in 113 AOMIC PIOP2 test records
Its stop-history response-time analysis supplied context for choosing a question about recorded stop/go order. We tested shared complete schedules and prefix forecasts. We did not reuse its code or estimates, and we did not test a response-time effect.
- usesPredictable integrable signals give zero expected future-stop scores with rates from other independent Bernoulli runs, a common probability, fixed denominators, and retained runs
We used its preserved source files, fixed source manifest, converter records, licenses, and retrieval script. Its future-stop response result motivated this question.
- usesTask quarter weights lowered the failed stop minus go time contrast by 55 ms in 177 selected AOMIC PIOP2 runs
Its response-history results informed the preceding-go check and the limits on interpreting temporal matching.
- usesPast stops had a 41 ms larger go time association than future stops under a fixed model in 121 ds008037 v1.0.1 records
Its past and future stop estimates in AOMIC PIOP2 motivated the primary direction contrast. We tested that contrast in the separate ds008037 dataset with a fixed model. We used no AOMIC data or code.
- usesA past stop pair score rejected a model of independent stops with common trial rates in 226 AOMIC PIOP2 v2.0.0 runs
This archive supplied the initial event files and source manifest. Its reported future-stop response coefficient informed the follow-up question. We wrote new analysis code and retrieved all 233 files again from fixed upstream URLs. Both studies use the same human sample.
- usesSeparate cue terms increased stop-signal standard errors in 209 AOMIC PIOP2 designs with a fixed kernel and independent errors of equal variance
This publication supplied event files and snapshot information for initial source inspection. All 226 event files matched fresh pinned source retrieval.
- usesA test martingale at threshold 20 bounds false rejection by 5% under a known conditional stop law and predictable response scores
We fetched 226 public stop task event tables and seven metadata files from this package. All files then passed a fresh comparison with the pinned public commit. Their counts set the simulation dimensions.
- usesPast-stop counts give negative expected future-stop mean contrasts under independent Bernoulli stops with a common probability, both groups present, and at least three scored trials
We use its source event subset, retrieval manifest and code, response model, and participant estimates. We reproduce its future-stop diagnostic coefficients. Its reported future-stop association set the initial history-test question.