Subutai goes over voting in the Thousand Brains Theory.
In the first of two research meetings, he lays the groundwork for understanding how columns vote in the theory by unpacking the ideas in our “Columns” paper. First, he presents the hypothesis of the paper on how cortical columns learn predictive models of sensorimotor sequences. Then, he explains the mechanisms behind a single cortical column and how it learns complete objects by sensing different locations and integrating inputs over time. In the next research meeting, he will review voting across multiple columns.
Other paper mentioned: “The columnar organization of the neocortex”