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Four response groups in each staircase give a replay tail estimate of 0.41563 in 266 scanner runs.

In 266 scanner runs from OpenNeuro ds000030 version 1.0.0, a count-conditioned replay of the adaptive stop-signal task gave an upper-tail estimate of 0.41562584 when each 16-trial staircase was divided into four groups of four. The recorded pooled delay–response cross-product was 106,156.25 ms; the replay mean was 106,053.54757426698 ms, an excess of 102.7024257330247 ms. With two groups of eight, the estimate was 0.00907991; the one-group reference estimate was 0.00001000. A descriptive GO check found a participant median late-minus-early response-time change of 28.72335899974125 ms, positive in 202/266 participants. Finer count conditioning can remove delay-related signal as well as time-related signal. These model comparisons do not identify why response counts change, validate the model, establish a biological cause, estimate stopping latency, or verify physical cue timing; the confidence intervals quantify Monte Carlo uncertainty, not population uncertainty.

stop-signal task · adaptive staircase · conditional replay · response counts · Monte Carlo · GO response time

Admitted 3 citing publications

References

7
  1. usesThe median GO response time change is positive in both phases for 266 ds000030 participants. sci:sha256:e75d65734e76fc23b2431286e67952a94a487145a5d518d710ad200b4844bd9b

    The scanner GO timing result supplied the reason to test response probability changes with time. The new calculation also gives the same two rounded scanner summary values. It does not show that GO slowing caused the STOP response counts.

  2. All 100,000 conditional replays give lower pooled delay–response cross-products than the observed value for 266 ds000030 runs. sci:sha256:8b193f740c2de2908281d7f7e16bc8dd4e67bf25c1a6317d96a0abbb40a1c65c

    [Legacy relation: reproduces] New code gives the same nine exact values for recorded cross-products, conditional means, and conditional variances. The source files, statistic, and adaptive rule enable the time-group comparison. This relation is limited to those numerical reference values. It does not include the earlier seeded draws or upper-limit sensitivity.

  3. usesdoi:10.18112/openneuro.ds000030.v1.0.0

    The analysis uses the STOP event tables from ds000030 version 1.0.0, pinned to Git commit 4070b6eea231517bfeff42527a46d9d166ac4e13; the saved dataset metadata identify this exact version and state CC0.

  4. supportsdoi:10.1038/sdata.2016.110

    The dataset task description documents two interleaved 16-trial staircases and 50 ms delay changes, which inform the replay design.

  5. doi:10.12688/f1000research.11964.2

    The source dataset README identifies this article as the description of the preprocessed Consortium for Neuropsychiatric Phenomics dataset.

  6. doi:10.7554/eLife.46323

    Background stop-signal task guidance on tracking procedures, response-time assumptions, and short-record limits.

  7. doi:10.1371/journal.pone.0210065

    Background comparison of delay procedures under constant and increasing GO times; the present calculation does not implement its response-time correction.

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