Minimizing Precision-Weighted Sensory Prediction Errors via Memory Formation and Switching in Motor Adaptation
Abstract
Humans predict the sensory consequences of motor commands by learning internal models of the body and of environment perturbations. When facing a sensory prediction error, should we attribute this error to a change in our body, and update the body internal model, or to a change in the environment? In the latter case, should we update an existing perturbation model or create a new model? Here, we propose that a decision-making process compares...
Paper Details
Title
Minimizing Precision-Weighted Sensory Prediction Errors via Memory Formation and Switching in Motor Adaptation
Published Date
Oct 3, 2019
Journal
Volume
39
Issue
46
Pages
9237 - 9250
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