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In computational neuroscience, Bayesian brain refers to the hypothesis that the brain represents uncertainty as probability distributions and combines prior knowledge with evidence in a near-optimal Bayesian way. This meaning comes from Knill (2004) in Trends in Neurosciences.[1]
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