The Thousand Brains Theory holds that the neocortex is made of repeated computing units called cortical columns. Each column is proposed to learn models of objects by combining sensory information gathered across movements, while long-range connections help the columns reach agreement.

This extension addresses connections and theoretical problems left out of earlier versions. It argues that the neocortex works as a heterarchy—a network of interacting parts rather than a simple hierarchy—and proposes roles for pathways involving the thalamus and connections that carry information forward and backward. The authors also discuss how these pathways could support models made from smaller parts and convert information from the body’s viewpoint into a more general model of an object.