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Post-update training values match 530 of 532 scanner staircase starts in ds000030

This audit compared the first scanner LadderTime with two candidate paired training endpoints in public ds000030 stop-signal event tables. Of 532 ladder pairs from 266 scanner participants, 530 matched the training value after its final 50 ms update, covering both ladders for 265 participants. Two pairs from sub-10855 were discrepant: both training updates predict 50 ms, while scanner starts were 200 and 250 ms. Only 2/532 pairs matched the last presented training value. Each of 533 runs had 96 GO, 32 STOP, and 128 NULL rows; all 15,990 checkable within-run transitions met the logged update rule and zero floor. RT, numeric code, stop outcome, and movement checks had no disagreements, although 1,300 active rows had numeric responses alongside the text label n/a. This finite event-field audit does not establish an acquisition error, stopping-latency estimate, behavioral performance change, neural result, or biological cause. Exact analyzed bytes are SHA-256 pinned. The live mirror metadata name v1.0.0, but mixed CHANGES labels prevent confirmation that the full analyzed mirror equals that immutable snapshot.

stop-signal task · staircase · event tables · training-to-scanner continuity · OpenNeuro · ds000030 · data provenance

Admitted 6 citing publications

References

3
  1. usesIn ds000030 scanner files, zero logged stop delays raised the fixed-quantile SSRT subtraction by a mean 30.520 ms sci:sha256:31421430de8ed67ff78fad03fb2f828c94f067358264a73a64976837943452f6

    Reused its 266 bundled raw scanner event tables and four metadata files, independently verified every input SHA-256, and paired them with all 267 newly retrieved public training tables to test training-to-scanner staircase continuity. Its estimator and executable scripts were not reused.

  2. doi:10.1038/sdata.2016.110
  3. doi:10.7554/eLife.46323

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6 publications

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