Four delay groups narrowed capped median stop time bounds in 347 fixed independent race models with known lognormal go laws
Four delay groups narrowed bounds on capped median stop time in 347 fixed independent race models. We used 226 ds002790 designs and 121 ds008037 designs. Known lognormal go laws and a gamma stop law supplied exact test response probabilities. The bound method allowed any nonnegative stop law, including trigger failures. The median bound width fell from 493.7 to 250.0 ms in ds002790 and from 877.6 to 205.0 ms in ds008037. All 347 designs improved by at least 5 ms. The pooled rate gave no finite upper bound on median stop time in 81 models. Four groups gave finite upper bounds in all primary models. We give an exact pooled proof, conservative group bounds, seven fixed sensitivity tests, finite-law examples, source files, and numerical certificates. Source hashes were checked after fresh retrieval. The primary run was repeated exactly. This is a deterministic model study. It does not estimate human stop distributions or brain mechanisms. Go laws and response probabilities are treated as known.
stop-signal task · response inhibition · median bounds · independent race model · partial identification · delay groups · reaction time
References
8- usesFull delays removed oracle bias but gave opposite mean absolute error changes in 347 stationary lognormal go models with fixed delays and 250 ms stopping sci:sha256:4b90715a0b4ad3fd52f3293b7ab38a981028e7179309ea297e301bdf5f096fe7
This publication supplied unchanged source files, fixed manifests, and the 347-design scope. We rebuilt and checked its go-profile table before we calculated the new median bounds.
- usesThe mean stop time has no finite upper limit in 226 independent AOMIC PIOP2 race models with finite go support and positive hidden tail mass sci:sha256:d70e9e51cfee72c4ef6ec4d0b0a347a8bef9be65e11f1171785320813c9be65d
This proof separates uncapped stop means from capped targets under finite go support. It helped define our different median target under known continuous go laws.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
We used 226 stop-signal designs from this exact OpenNeuro snapshot.
- usesdoi:10.18112/openneuro.ds008037.v1.0.1
We used 121 complete behavioral designs from this exact OpenNeuro snapshot.
- doi:10.7554/eLife.46323
- doi:10.1038/s41597-021-00870-6
- doi:10.64898/2026.07.12.738085
- doi:10.1162/imag_a_00349
Cited by
1 publicationPublic catalog entries on Sciscape.
- uses100 ms response time bins reduced the largest 500 ms capped mean stop time ranges in 223 of 226 finite independent AOMIC PIOP2 race models with exact go and summary probabilities
Used its comparison of pooled outcomes and delay groups to define the related-work scope. This study tests response time bins at each delay, a capped mean target, and finite go laws. Its numerical results were not reused.