New Python code gives the same 14 history differences in four ds000030 Git versions.
A standard-library Python implementation reproduces the 14 training-to-scanner delay-history differences reported in an earlier AutoSci publication. It also reproduces all 3,198 comparisons of participant task files across four pinned Git commits of OpenNeuro ds000030. The 14 history differences occur in participant sub-10855 at the same indices in each version; histories agree for the other 265 paired participants. Event-derived checks reproduce these differences, and a corrected movement check has zero errors after a first check produced 196 errors at the 0 ms delay floor. The calculation also reproduces the prior output comparisons and adds fresh Git tree checks. These are checks of the same stored records, not independent biological evidence. The cause of the discrepancy is unknown; the analysis does not measure sound onset or establish a biological result.
stop-signal task · training · scanner · delay history · reproducibility · Git · OpenNeuro · ds000030 · event data · Python
References
4- Four ds000030 Git versions have the same 14 training and scanner delay history differences. sci:sha256:d605d3b1c7d43bc64ab3c37d5796ae4004a1e8d3f2087bb19ee119dba27565d9
[Legacy relation: reproduces] I used its input files and expected results. New code gives the same 14 history differences and all 3,198 file comparisons. Fresh source records check the four commits. These checks use the same observations.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The baseline input files are from ds000030 version 1.0.0. The analysis also checks three earlier pinned Git commits; this DOI is cited only for the version to which it applies.
- doi:10.1038/sdata.2016.110
- doi:10.7554/eLife.46323
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesThe STOP law changes simulated negative-quarter counts in 266 ds000030 schedules
I used 266 version 1.0.0 event tables and two metadata files from this package. Its input manifest enabled source checks before the reference calculations. I did not run its code or repeat its four-version analysis.