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CNBC Faculty members Steve Chase and Byron Yu (CMU Biomedical engineering) and former CNBC student Matt Golub (now a postdoc in CMU Electrical and Computer Engineering) have developed a method to extract an internal model the brain uses to facilitate motor control. To produce accurate movements in light of delayed sensory feedback, the brain makes predictions on the basis of a model of how the world works to aid on-line computations. Using a brain computer interface (BCI), the researchers were able to observe the development of a subject’s internal model during motor behavior. Strikingly, when learning of the use of the BCI, the subject’s internal model is often wrong, failing to match the world. The work is detailed in eLife and more information is available here.