| Outline of Final Research Achievements |
The brain learns a prior distribution of sensorimotor tasks to generate Bayesian estimation, which improves the task precision. In our daily tasks such as sports, the brain should learn multiple prior distributions. Based on “motor specificity (Roach et al. & Heron. 2017),” we conducted psychophysical experiments. As one of main research outcomes, we found “motor-effector specificity.” When the short and long priors (i.e., fastballs/slowballs) were assigned to different motor effectors, participants concurrently learned the two independent priors. Moreover, the two priors were learned faster when the priors were assigned to anatomically distant body parts. These psychophysical findings also provided an effective hypothesis for the neural basis of learning of multiple prior distributions.
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