It seems by now common wisdom that a brain organized according to the principles of hierarchical predictive coding is a brain that is capable of efficiently performing full-blown Bayesian inferences. The idea is not only common, but also of great significance, as it suggests that the hierarchical predictive coding framework may provide a neurally plausible and computationally feasible bridge between theories of neural functioning (Friston, 2005) and theories of cognitive functioning (Chater and Manning, 2006; Baker et al., 2009).
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