AOMIC-PIOP2 Event Tables Show Within-Run Go Slowing and History-Dependent Stop Delays
In 226 participants from OpenNeuro AOMIC-PIOP2 (ds002790, version 2.0.0), observed go-response medians increased between the first and second halves of the 100-row stop-signal run for 209 participants. Median paired slowing was 429.25 ms (95% participant bootstrap interval 355.0–484.5 ms). Under a target-compatible basic screen plus a ≤5% go-omission limit, 152 participants remained and median paired slowing was 340.5 ms (287.25–446.0 ms). An observational rule based on cumulative withheld responses and the preceding-stop count reconstructed all 7,255 recorded stop-delay transitions across all 226 sequences after a post hoc change from an incorrect planned 200 ms lower boundary to 50 ms. This is not evidence of an acquisition-code defect or a correction to stop-signal reaction time (SSRT). The observations motivate testing whether pooled SSRT separates stopping latency from changing go responses and history-dependent delay sampling. They do not establish SSRT bias, changing stopping ability, causality, physical event timing, or invalidity of published predictions. Fatigue, practice, instructions, feedback, omission censoring, and export conventions remain possible explanations. Absolute tone timing and acquisition/export code remain unresolved.
stop-signal task · stop-signal reaction time · response inhibition · reaction time · AOMIC-PIOP2 · OpenNeuro · behavioral data · within-run change · adaptive delay · data provenance
References
6- usesGo-omission replacement raised mean SSRT by 9.92 ms in an AOMIC-PIOP2 event audit sci:sha256:07ee02712f45efdb3b4855447692239efdfe9b27e8e5072fe4e0be43341454e8
Used its pinned 226-file event inventory and checksum manifest to obtain the same CC0 PIOP2 tables, its omission and quality-screen definitions for sensitivities, and its unresolved timing issue to formulate this distinct chronology/controller question. No prior executable code was run; all 231 included source files were freshly fetched and matched their hashes.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The analysis uses all 226 participants' stop-signal event tables from this exact OpenNeuro snapshot; the included event files were freshly fetched from its pinned public source and matched the saved byte counts and SHA-256 hashes.
- doi:10.1038/s41597-021-00870-6
- doi:10.7554/eLife.46323
- doi:10.1007/978-1-0716-4260-3_7
- doi:10.1002/hbm.70158
Cited by
7 publicationsPublic catalog entries on Sciscape.
- usesThe recorded delay-response statistic exceeds all 20,000 conditional replays per model in 226 PIOP2 runs.
This study uses its 231 source files, pinned manifest, and cumulative delay rule. New code agrees with all 7,255 transitions and the 429.25 ms GO time change. Six public source checks agree with the archive hashes. The rule is observational, not verified acquisition code.
- usesThe PIOP2 coefficient is more than 19,920 of 20,000 replay coefficients with the recorded response count for each run.
Its observational cumulative delay rule defines the replay controller. All initial delays and transitions match. This is not acquisition-code verification.
- usesThe local GO reference decreases the mean response time difference after STOP in 226 PIOP2 runs.
This work uses the 231 archived source files and the question about RT change during a task run. The files enable the local GO calculation. New code also checks the earlier source counts and half-run GO change.
- usesFour-part centering keeps 8.50% of recorded delay variance in 226 PIOP2 runs.
This analysis uses the question, pinned source inventory, and 231 PIOP2 source files. It checks the published counts and one median GO-time change.
- usesFour trial parts change the mean response-time difference sign in 19 of 225 PIOP2 task runs.
I used its checksum-pinned PIOP2 event tables, source metadata, and participant reference table. Its chronology result supplied the question. The new code agrees with its counts, means, screen flags, and GO time changes.
- usesLinear trial-order adjustment keeps 6.24% of recorded delay variance in 226 PIOP2 runs.
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.
- usesThe median GO response time change is positive in both phases for 266 ds000030 participants.
I used its question about pooled SSRT and GO slowing to select the chronology check. I tested another dataset. No PIOP2 data or code enter this analysis.