A fixed personal timing rule left next-day error reduction uncertain in 21 selected adults who typed 32431 and 32421
We tested a fixed personal timing rule in OpenNeuro ds006502 version 1.0.0. The score was the log interval ratio in the shared key fragment 3-2-4. Training supplied the personal score. Two untrained full sequences supplied the next-day target. Each prediction excluded the scored person from its peer references. In 21 selected adults, the fixed slope of 0.5 increased mean squared error by 9.1 percent. The mean error reduction was -0.01408, with a 95 percent person bootstrap interval from -0.16692 to 0.11436. The test left a prediction benefit uncertain. A planned trained-sequence check reduced mean error by 68.5 percent in the same adults. Short control recordings, correct-cycle selection, and unequal target precision limit comparisons. The package preserves 291 source files, the fixed plan, code, cycle records, all twelve checks, and all resampling draws. A fresh public download reproduced all 61 result files exactly.
motor sequence learning · movement timing · personalized prediction · log interval ratio · behavioral data · bootstrap uncertainty
References
4- usesPersonal training timing reduced next day relative timing error by 54.8 percent in 26 adults who typed 41324 sci:sha256:74524c0a5355274003b9e42e664dc0e07a735180c4d8c3c33b60bceaaa9419a7
The prior publication supplied the archived ds006502 source subset and hashes. Its trained-sequence timing result motivated this control-sequence test and the fixed half-weight rule. We use a new scalar ratio, new target sequences, and new peer target references.
- usesdoi:10.18112/openneuro.ds006502.v1.0.0
The analysis uses behavioral events and metadata from OpenNeuro ds006502 version 1.0.0, pinned to the recorded Git commit. The source dataset metadata states CC0.
- doi:10.7554/eLife.102475
- doi:10.1038/s41539-023-00194-7
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