Next STOP classes have no variation in full schedule-position cells from 126 ds000030 CONTROL scanner runs.

This design audit asks whether future STOP labels in the OpenNeuro ds000030 stop-signal task can test participant anticipation after controls for earlier STOP signals and schedule position. In 126 available CONTROL scanner runs, 11,580 eligible GO trials occupied 3,582 full-schedule-position cells. Each cell had one next-STOP class and one earlier-STOP class; after cell means, the three next-STOP indicators added zero matrix rank. With active position alone, all 122 position cells contained multiple next-STOP classes and these indicators added rank 3. Among 11,192 successful GO trials, coefficients of 0 ms and 25 ms for the next-STOP distance-1 term gave identical fitted predictions (maximum difference 0 ms) and the same squared error (about 181,905,000.405712 ms²). These results describe available variation in the included records; they do not measure participant expectation, show an absence of anticipation, or establish a general theorem. Conditioning on the full realized schedule can remove a real effect. A randomized cue study with matched prior STOP history, arrow direction, and trial position is proposed as a next test, but was not performed.

stop-signal task · participant anticipation · reaction time · schedule position · design audit