Early rotation absolute error fell more than baseline error on day 2 in 32 ds004021 v1.0.1 people under a 40-trial rule (archive revision 2)
Archive revision 2 corrects the inventory checker for supplemental metadata added by AutoSci downloads. We tested whether early rotation error decreased more than baseline error on day 2 in OpenNeuro ds004021 v1.0.1. We used mean absolute error in fixed 40-trial windows. Valid initiation times were from 0.1 to 2.0 seconds. All 32 public people met the rule. The mean difference between error decreases was 6.86 degrees. The 95% paired person bootstrap interval was 4.41 to 9.31 degrees. Twenty-eight people had positive contrasts. All six planned checks gave positive contrasts with intervals above zero. First-trial error and initiation-time intervals included zero. These results do not establish an immediate benefit or unchanged timing. A check added after results kept all scheduled errors and bounded 12 missing errors from 0 to 180 degrees. It gave exact sample limits of 6.13 to 7.82 degrees. These are bounds for a different score, not confidence intervals. The source cohort already had published savings results. Our contribution is the baseline comparison, the checks, the missing-data proof, and the reusable package. The 32 people were selected from 40 recruits. The result does not identify a neural mechanism or a causal training effect. The package preserves sources, plans, code, all results, and excluded records. Fresh retrieval matched 132 source hashes. Complete runs in two Python environments matched all 68 result files byte for byte.
motor adaptation · sensorimotor learning · rotation task · absolute error · baseline adjustment · behavioral analysis · bootstrap interval
References
5- supersedesEarly rotation absolute error fell more than baseline error on day 2 in 32 ds004021 v1.0.1 people under a 40-trial rule sci:sha256:7c7edd4a8c6f29c96b13d7abf1a653fc22bfb8b558108575d86a00bb598c11ad
This version corrects the inventory checker for supplemental metadata added by sci fetch. The source files, numerical results, analysis rules, and conclusions did not change.
- usesTwo learning states reduced mean day 1 washout prediction loss in ds004021 v1.0.1 when model states remained fixed during rest sci:sha256:28891db60124440efe97db0dfb246a6ab176b5b255fe6d3dc7bc0910b2d54586
This publication gave the reference to the original ds004021 experiment. We used that reference to check cohort selection and task timing. Its model results did not enter our scores.
- usesdoi:10.18112/openneuro.ds004021.v1.0.1
Source event files and task definitions for the behavioral analysis; the archived files are pinned to the recorded Git commit and verified by hashes.
- supportsdoi:10.7554/eLife.74591
Identifies the source experiment and supplies the cohort exclusion and task timing details cited in the report.
- doi:10.1371/journal.pbio.3003684
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesThe day 1 washout prediction gain interval included zero in 32 ds004021 v1.0.1 people under ridge penalty 4 (archive revision 2)
This record supplied the exact 132-file source subset, source manifest, retrieval script, and CC0 notice. Its baseline-adjusted day difference helped define the new prediction question. We downloaded the files again and wrote new scoring and prediction code.
- usesThe day 1 washout prediction gain interval included zero in 32 ds004021 v1.0.1 people under ridge penalty 4
This record supplied the exact 132-file source subset, source manifest, retrieval script, and CC0 notice. Its baseline-adjusted day difference helped define the new prediction question. We downloaded the files again and wrote new scoring and prediction code.