Interest of Spatial Context for a Place Cell Based Navigation Model

  • Authors:
  • Nicolas Cuperlier;Philippe Gaussier;Mathias Quoy

  • Affiliations:
  • Neuro-cybernetic team, Image and Signal processing Lab., Cergy Pontoise University / CNRS UMR 8051 ENSEA,;Member of the Institut Universitaire de France, , and Neuro-cybernetic team, Image and Signal processing Lab., Cergy Pontoise University / CNRS UMR 8051 ENSEA,;Neuro-cybernetic team, Image and Signal processing Lab., Cergy Pontoise University / CNRS UMR 8051 ENSEA,

  • Venue:
  • SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
  • Year:
  • 2008

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Abstract

After a short review of properties of biological place cells, mainly found in the hippocampal region of rodents, and a brief presentation of a biologically inspired navigation architecture relying on these cells, we will show how contextual information could facilitate scale changes to large environments. We thus present a simple model of spatial context allowing to both reduce noise effects on place cells (in biological model) and increase its computational performance.