Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells.

ABSTRACT: The neocortex is capable of anticipating the sensory results of movement but the neural mechanisms are poorly understood. In the entorhinal cortex, grid cells represent the location of an animal in its environment, and this location is updated through movement and path integration. In this paper, we propose that sensory neocortex incorporates movement using grid cell-like neurons that represent the location of sensors on an object. We describe a two-layer neural network model that uses cortical grid cells and path integration to robustly learn and recognize objects through movement and predict sensory stimuli after movement. A layer of cells consisting of several grid cell-like modules represents a location in the reference frame of a specific object. Another layer of cells which processes

SUBMITTER: Lewis M 

PROVIDER: S-EPMC6491744 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature