Abstract
In this review, I cover the role of the LC (Locus coeruleus) in the evolution of dynamic cortical states and the coupling of LC activity to global evolutions of the cortex in response to relevant environmental contingency and behavioral states. I examine the work done Predictive coding and the underlying representational geometries of predictions and error signals that exist across the cortex. Important to note; I do assume these geometries converge towards an optimized global state of the cortex along a given gradient. Furthering discussion, I review current work on the LC and high level representation in cortical networks, along with spatiotemporal dynamics of the system in relation to computational processing of distributed information.