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Computational modeling of motor control, learning, and memory

We developed computational models for motor learning & memory. In recent studies published in PLoS Biology and PLoS One, 2015 (see publications) , we suggested multi-rate memory models for motor adaptation, which is a type of motor learning. We also pursue how humans acquire novel motor skills via trials-and-errors, based on reward in a theoretical framework of reinformcement learning.