
시각적 단서의 불확실성이 증가함에 따라 지각 오류가 증가하며, 이는 암묵적 운동 적응의 과보상 및 포화 현상을 설명할 수 있다.


coremsg

The sensorimotor system can recalibrate itself without our conscious awareness, a type of procedural learning whose computational mechanism remains undefined. Recent findings on implicit motor adaptation, such as over-learning from small perturbations and fast saturation for increasing perturbation size, challenge existing theories based on sensory errors. We argue that perceptual error, arising from the optimal combination of movement-related cues, is the primary driver of implicit adaptation. Central to our theory is the increasing sensory uncertainty of visual cues with increasing perturbations, which was validated through perceptual psychophysics (Experiment 1). Our theory predicts the learning dynamics of implicit adaptation across a spectrum of perturbation sizes on a trial-by-trial basis (Experiment 2). It explains proprioception changes and their relation to visual perturbation (Experiment 3). By modulating visual uncertainty in perturbation, we induced unique adaptation responses in line with our model predictions (Experiment 4). Overall, our perceptual error framework outperforms existing models based on sensory errors, suggesting that perceptual error in locating one’s effector, supported by Bayesian cue integration, underpins the sensorimotor system’s implicit adaptation.

### Competing Interest Statement

The authors have declared no competing interest.

Perceptual error based on Bayesian cue combination drives implicit motor adaptation

시각적-불확실성에-따른-베이지안-단서-결합이-암묵적-운동-적응을-주도한다


시각적 불확실성에 따른 베이지안 단서 결합이 암묵적 운동 적응을 주도한다
