The gamma model calculates too few responses at planned delays less than 0.1 s in 126 ds000030 runs.
A common gamma race model was fitted to STOP trials from four of five participant groups and used to predict the held-out group in turn, using 126 CONTROL scanner runs from ds000030 snapshot 1.0.0. At planned delays under 0.1 s, the held-out data contained 108 responses in 241 trials, while the model expected 50.33847508265513. The observed-minus-expected response-rate difference was 0.23925943949105755; a fixed-prediction participant bootstrap gave a descriptive 95% interval of [0.09408749421432586, 0.37220819359002555]. Four test groups had positive differences, while one group, with six short-delay trials, had a negative difference. At delays of at least 0.1 s, the data contained 1,971 responses in 3,791 trials and the model expected 1999.4826898760518. A sensitivity using observed positive GO times expected 47.656681705633 short-delay responses. An exploratory six-participant screen left 79 responses in 208 short-delay trials and expected 39.89445704258118 after refitting. The interval omits refit, GO-estimation, and delay-history uncertainty; training groups overlap. Actual tone onset is unknown, planned delay depends on earlier responses, and shared STOP parameters omit participant differences. These conditional count results do not establish a biological trigger-failure rate or cause, and they do not refute the target's conditional delay-field result.
stop-signal task · gamma race model · trigger failure · participant split · held-out prediction · planned delay · response counts · ds000030 · model checking · reproducibility
References
7- usesThe trigger-failure parameter is higher for recorded delays in a gamma model of 126 ds000030 runs. sci:sha256:5c7760a550001c59238b4b2217d201064ff591fc71fa5d7f524f5399d02fb92a
The inspected CC0 race likelihood, integration code, six starts, bounds, and 0.1 s count limit supply the model and check for the participant split.
- Recorded zero delays increased the calculated trigger-failure parameter in 15 models of ds000030 sci:sha256:2cd013658d4807bf90e954173814212a71028aa202b938147bdd6d5c28eaf260
[Legacy relation: reproduces] The shape 4, mean 0.2 s calculation reproduces the three primary target trigger-failure probabilities within 1e-15. It does not repeat the 15-law grid.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The analysis uses the event files from ds000030 snapshot 1.0.0, retrieved from the recorded commit and verified against the saved hashes.
- supportsdoi:10.1038/sdata.2016.110
Describes the ds000030 task and public data used in this analysis.
- supportsdoi:10.3758/s13428-015-0695-8
Supplies the trigger-failure mixture form used by the fitted race model.
- supportsdoi:10.7554/eLife.46323
Supplies race-model checks by response rate and cautions for interpreting short delays.
- supportsdoi:10.1162/imag_a_00454
Supplies the independently defined six-participant screen used in the exploratory sensitivity.
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