Canonical cortical circuits and the duality of Bayesian inference and optimal control

The duality of sensory inference and motor control has been known since the 1960s recently recognized as commonality in computations required for posterior distributions Bayesian value functions optimal control. Meanwhile, an intriguing question about brain is why entire neocortex shares a canonical six-layer architecture while its anterior halves are engaged processing control, respectively. Here we consider hypothesis that cortical circuits implement dual or perceptual value-based decision making, We first review classic linear quadratic systems then correspondence between dynamic Based on circuit, explore how different neurons may represent variables computations.