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Related Experiment Video

Updated: Jun 6, 2026

Preparation of Parasagittal Slices for the Investigation of Dorsal-ventral Organization of the Rodent Medial Entorhinal Cortex
09:45

Preparation of Parasagittal Slices for the Investigation of Dorsal-ventral Organization of the Rodent Medial Entorhinal Cortex

Published on: March 28, 2012

Grid cell hexagonal patterns formed by fast self-organized learning within entorhinal cortex.

Himanshu Mhatre1, Anatoli Gorchetchnikov, Stephen Grossberg

  • 1Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, Boston, Massachusetts, USA.

Hippocampus
|December 8, 2010
PubMed
Summary
This summary is machine-generated.

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A new neural model, GRIDSmap, demonstrates how hexagonal grid cell firing patterns can emerge during spatial navigation through learning. This model explains how the brain learns these patterns from path integration signals, supporting navigation research.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • Grid cells in the dorsal medial entorhinal cortex (dMEC) exhibit hexagonal firing patterns at various scales during navigation.
  • Previous models showed self-organizing maps converting entorhinal grid cell activity into hippocampal place cells for larger spatial scales.

Purpose of the Study:

  • To investigate if grid cell firing fields can arise from learning within a self-organizing map during navigation.
  • To identify mathematical properties favoring hexagonal patterns in spatial navigation.
  • To develop a neural model that learns these hexagonal grid cell patterns.

Main Methods:

  • Described a mathematical property of spatial navigation trigonometry favoring hexagonal patterns.
  • Developed the GRIDSmap self-organizing map model to learn hexagonal grid cell patterns.

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Related Experiment Videos

Last Updated: Jun 6, 2026

Preparation of Parasagittal Slices for the Investigation of Dorsal-ventral Organization of the Rodent Medial Entorhinal Cortex
09:45

Preparation of Parasagittal Slices for the Investigation of Dorsal-ventral Organization of the Rodent Medial Entorhinal Cortex

Published on: March 28, 2012

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

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Published on: January 22, 2018

  • Simulated path integration signals and biologically plausible neural inputs/outputs.

    • Main Results:

    • The GRIDSmap model successfully generates hexagonal grid cell firing patterns across multiple scales.
    • The model learns to exploit trigonometric relationships inherent in spatial navigation.
    • GRIDSmap produces only hexagonal patterns, aligning with empirical observations.

    Conclusions:

    • The GRIDSmap model provides a mechanism for learning hexagonal grid cell representations from experience.
    • Results support a hierarchical self-organizing map framework for entorhinal-hippocampal spatial navigation.
    • The study offers insights into the computational basis of spatial memory and navigation.