A MODEL OF GRID CELLS BASED ON A TWISTED TORUS TOPOLOGY

The grid cells of the rat medial entorhinal cortex (MEC) show an increased firing frequency when the position of the animal correlates with multiple regions of the environment that are arranged in regular triangular grids. Here, we describe an artificial neural network based on a twisted torus topol...

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Bibliographic Details
Published in:International journal of neural systems 2007-08, Vol.17 (4), p.231-240
Main Authors: GUANELLA, ALEXIS, KIPER, DANIEL, VERSCHURE, PAUL
Format: Article
Language:English
Subjects:
Action Potentials - physiology
Animals
Brain Mapping
Entorhinal Cortex - cytology
Environment
Models, Neurological
Neural Networks (Computer)
Neural Pathways
Neurons - physiology
Numerical Analysis, Computer-Assisted
Orientation
Rats
Synapses - physiology
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Summary:The grid cells of the rat medial entorhinal cortex (MEC) show an increased firing frequency when the position of the animal correlates with multiple regions of the environment that are arranged in regular triangular grids. Here, we describe an artificial neural network based on a twisted torus topology, which allows for the generation of regular triangular grids. The association of the activity of pre-defined hippocampal place cells with entorhinal grid cells allows for a highly robust-to-noise calibration mechanism, suggesting a role for the hippocampal back-projections to the entorhinal cortex.
ISSN:0129-0657
1793-6462
DOI:10.1142/S0129065707001093