Distinct computations underlie movement error parsing during implicit motor adaptation and perturbation detection

Neuro-typical adults show robust implicit adaptation to 1° externally-generated errors during visuomotor reaches, but explicit perturbation detection is unreliable until the EGE reaches ~4°.

• Why it matters: The work addresses how perception differs between action and conscious recognition, reconciling prior evidence of misattribution with the need for a unified, within-subject account.
• What they did: Participants completed two within-subject experiments with pseudo-randomized visuomotor rotations; one required explicit detection reports after each reach, and computational modeling fit separate strategies for adaptation versus signal-detection.
• The result: The best-fitting models attribute the dissociation to cue comparison and partial error correction for adaptation, versus Bayesian causal inference with optimal cue integration for detection, clarifying distinct computations.

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