Learning Place Cells from Sonar Data

Abstract

A place cell system is developed that is able to provide robust localisation using simple sonar information only. The system uses egocentric view cells, based on the Adaptive Response Function Neuron, as sensory input to correct for path integration errors. The major advantage of this system is that place field centres are fixed prior to training, allowing downstream navigational systems to make relevant predictions immediately upon entering a new environment.