Computational Neuroscience
Internal model theory posits that the brain creates internal representations of the external environment to predict sensory outcomes based on past experiences. This concept is particularly relevant in understanding how the cerebellum contributes to motor learning by enabling the body to adjust movements based on expected results, improving coordination and accuracy over time.
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