Bio-mimetic Path Integration Using a Self Organizing Population of Grid Cells

  • Ankur Sinha
  • Jack Jianguo Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8681)


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.


Grid Cell Synaptic Weight Place Cell Inertial Navigation System Head Direction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ankur Sinha
    • 1
  • Jack Jianguo Wang
    • 1
  1. 1.Faculty of Engineering and Information TechnologyThe University of TechnologySydneyAustralia

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