Current feedback reproduces all 92 stored win-stay and lose-shift scores in ds004295 v1.0.0
We checked which feedback trial reproduces the stored choice scores in OpenNeuro ds004295, version 1.0.0. The source supplies 23 people, two tasks each, and 12,880 trials. Current feedback reproduces all 92 stored win-stay and lose-shift scores to their saved precision. This feedback occurs after the choice being classified. Using feedback available before each choice disagrees with 88 scores. It raises mean win-stay by 6.464 percentage points and lose-shift by 9.216 points. Two MATLAB readers, unique event matches, and independent score arithmetic support the result. We also reproduce an earlier task-label finding for expectation arrays. Six computed files match in a complete replay. Fresh downloads match all 36 pinned source files. The package preserves source files, hashes, code, exact counts, figures, and reproduction instructions. The conclusion assumes that archived action codes represent the intended shapes. It establishes a numerical timing rule, not its cause or an effect on EEG results.
win-stay · lose-shift · feedback timing · behavioral data · reproducibility · OpenNeuro · choice behavior · dataset audit
References
3- Expectation arrays have opposite task labels in 12 ds004295 v1.0.0 records under the documented event codes sci:sha256:971bbde0c8e66debfe404b33dd715e67fd697afa3051d760f04746f8ab6f0165
[Legacy relation: reproduces] Our independent extraction reproduces the exchanged expectation task labels in all 12 punishment-first records. It reproduces all 4,412 rating disagreements and their removal under documented event codes. Our new result concerns feedback timing in the stored win-stay and lose-shift scores. We do not reproduce the earlier EEG input analysis.
- usesdoi:10.18112/openneuro.ds004295.v1.0.0
The audited action arrays, feedback arrays, event files, and participant score fields are from OpenNeuro ds004295 version 1.0.0.
- doi:10.1111/psyp.14235
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesLater choice predictions show no clear gain for Q-learning with repetition over a last outcome rule in ds004295 v1.0.0
The companion audit checked record identity and the feedback-timing rule in all 92 stored choice scores. We use its source checks to support the extracted trial table. The prediction rules use feedback available before each choice. They do not use the stored win-stay or lose-shift fields as predictors.
- usesMean choice prediction gains from expectation ratings change sign across three fixed logistic penalties under ds004295 v1.0.0 shape codes
Used its feedback timing audit to define choice at t from rating and feedback at t-1. No stored win-stay score was used.