New experiment: Multi-column location inference
This uses a new algorithm for calculating the allocentric location:
cortical columns recall all of the allocentric locations where they've
ever sensed an input, and then the cortical columns vote on the body's
allocentric location. The body's allocentric location is calculated
from the sensor's allocentric location and the sensor's egocentric
location. The location is represented by an array of "location
modules" that are inspired by grid cell modules.
This is similar in principle to my previous algorithm that infers the
allocentric location by performing path integration on unions of
locations. The difference here is that this new solution doesn't
require movement. It still benefits from movement, but it can also
infer locations with multiple cortical columns with one "touch".