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Related Experiment Video

Updated: Jul 21, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Beyond Correlation: Optimal Transport Metrics For Characterizing Representational Stability and Remapping in Neurons

Andrew Aoun^1,2,3, Oliver Shetler^1,2,3, Radha Raghuraman^1,2

¹Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY 10032, USA.

Biorxiv : the Preprint Server for Biology

|July 28, 2023

Summary

This summary is machine-generated.

We introduce Earth Mover's Distance (EMD) metrics to better quantify spatial remapping in the brain's entorhinal cortex (EC) and hippocampus (HPC). This novel approach offers a more robust analysis of spatial memory and navigation.

Keywords:

activity maps grid cell optimal transport place cell remapping spatial coding spatiotemporal stability

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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Published on: July 28, 2013

Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

Spatial representations in the entorhinal cortex (EC) and hippocampus (HPC) are crucial for navigation and memory.
These representations, known as spatial fields, dynamically remap with environmental changes.
Existing methods like Pearson's correlation coefficient are limited in characterizing complex or non-linear remapping events.

Conclusions:

Earth Mover's Distance offers a powerful and versatile framework for analyzing neural remapping.
This method enhances the understanding of spatial navigation and memory.
EMD complements traditional techniques and has broad implications for neuroscience research.