Claims

Unpredictable notes show the steepest learning improvements, with a repetition-by-information-content interaction on asynchrony

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? Asynchrony decreased across repetitions and the improvement was steeper for high-IC notes (repetition × IC interaction F(1,56585) = 136.76, p < 0.001). → Marc Deosdad-Díez & Josep Marco-Pallarés 2025

Evidence

Marc Deosdad-Díez & Josep Marco-Pallarés 2025

Marc Deosdad-Díez & Josep Marco-Pallarés. (2025). Note-by-note predictability modulates rhythm learning and its neural components. npj Science of Learning 10:59. https://doi.org/10.1038/s41539-025-00353-y

q3 · i? · causal · r2

LMM on synchronization-trial asynchrony across ten repetitions of each of nine rhythms with 70 participants. Asynchrony "decreased across repetitions (F(1,68) = 131.65"; the article also reports a repetition × IC interaction (F(1,56585) = 136.76, p < 0.001), with higher-IC notes showing steeper learning curves (Fig. 1a).

"As expected, asynchrony decreased across repetitions (F(1,68) = 131.65,p < 0.001), indicating that participants learnt to perform more accurately through the task."

Discussion

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