Author summary Many theories of brain function propose that perception and learning arise from Bayesian inference, in which the brain continuously updates beliefs about the causes of sensory inputs. One influential framework implementing this idea is predictive coding, where hierarchical networks exchange predictions and prediction errors to update internal beliefs. These models have been widely used to study learning, decision-making, and psychiatric conditions. However, applying predictive ...

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