CORDIS Project
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This project investigates how the brain controls movement through predictive models. By examining information flow during manual tasks, it aims to validate the theory of active inference in motor control using advanced imaging techniques.
Recent research suggests that to control bodily movements the brain relies on Bayes-optimal predictive models that are updated by sensory prediction error.
This assumption may be generalised within a new formal account of motor control as active (Bayesian) inference.
Active inference explains motor control in terms of hierarchical Bayesian filtering or predictive coding, i.e., as belief updating and suppression of prediction error to optimise a hierarchical generative model in the brain; thereby…
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