From grid cells and visual place cells to multimodal place cell: a new robotic architecture.

ABSTRACT: In the present study, a new architecture for the generation of grid cells (GC) was implemented on a real robot. In order to test this model a simple place cell (PC) model merging visual PC activity and GC was developed. GC were first built from a simple "several to one" projection (similar to a modulo operation) performed on a neural field coding for path integration (PI). Robotics experiments raised several practical and theoretical issues. To limit the important angular drift of PI, head direction information was introduced in addition to the robot proprioceptive signal coming from the wheel rotation. Next, a simple associative learning between visual place cells and the neural field coding for the PI has been used to recalibrate the PI and to limit its drift. Finally, the parameters con

SUBMITTER: Jauffret A 

PROVIDER: S-EPMC4388131 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature