Use-dependent learning biases the initial state but not the learning dynamics of implicit adaptation.
Luo Y; Wei K · 2026 · Experimental brain research
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Motor adaptation arises from multiple learning mechanisms, including use-dependent learning (UDL) driven by repetition and implicit error-based learning (EBL) driven by motor prediction errors. Although both mechanisms contribute…
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Metadata source: Europe PMC · DOI 10.1007/s00221-026-07268-z