Bio-mimetic path integration using a self organizing population of grid cells

Publication Type:
Conference Proceeding
Citation:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8681 LNCS pp. 675 - 682
Issue Date:
2014-01-01
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
main.pdfAccepted Manuscript version421.95 kB
Adobe PDF
draftPaper.pdfAccepted Manuscript version427.76 kB
Adobe PDF
Grid cells in the dorsocaudal medial entorhinal cortex (dMEC) of the rat provide a metric representation of the animal's local environment. The collective firing patterns in a network of grid cells forms a triangular mesh that accurately tracks the location of the animal. The activity of a grid cell network, similar to head direction cells, displays path integration characteristics. Classical robotics use path integrators in the form of inertial navigation systems to track spatial information of an agent as well. In this paper, we describe an implementation of a network of grid cells as a dead reckoning system for the PR2 robot. © 2014 Springer International Publishing Switzerland.
Please use this identifier to cite or link to this item: