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Bayesian Brain: Probabilistic Approaches to Neural Coding,31idV6tlVAL._AC_UF1000,,Bayesian Brain: Probabilistic Approaches to Neural Coding,Theory: The Bayesian Brain Hypothesis Explained | ADDspeaker,Dissociating frontoparietal brain networks withBayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience Series) HardcoverA Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering experimental data. Bayesian Brain brings together contributions from both experimental and theoretical neuroscientists that examine the brain mechanisms of perception, decision making, and motor control according to the concepts of Bayesian estimation.After an overview of the mathematical concepts, including Bayes' theorem, that are basic to understanding the approaches discussed, contributors discuss how Bayesian concepts can be used for interpretation of such neurobiological data as neural spikes and functional brain imaging.