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Updated: Jul 30, 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

A map of spatial navigation for neuroscience.

Eloy Parra-Barrero¹, Sandhiya Vijayabaskaran², Eddie Seabrook²

¹Institute for Neural Computation, Faculty of Computer Science, Ruhr University Bochum, Bochum, Germany; International Graduate School of Neuroscience, Ruhr University Bochum, Bochum, Germany.

Neuroscience and Biobehavioral Reviews

|May 13, 2023

Summary

Neuroscientists and behavior researchers need better communication to understand spatial navigation. A proposed taxonomy helps integrate studies on neural representations and complex spatial behaviors.

Keywords:

Cognitive map Hippocampus Spatial behavior Spatial navigation Taxonomy

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Area of Science:

Neuroscience
Behavioral Science
Cognitive Science

Background:

Spatial navigation research has identified key brain areas and spatially selective cells.
A gap exists in understanding how neural mechanisms drive complex spatial behaviors.
Limited interdisciplinary communication hinders progress in spatial navigation research.

Purpose of the Study:

To propose a taxonomy of mammalian navigation processes.
To establish a common framework for interdisciplinary spatial navigation research.
To bridge the gap between neural representations and behavioral computations.

Main Methods:

Review of behavioral and neural studies on spatial navigation.
Development of a taxonomy for organizing navigation processes.
Analysis of experimental approaches and interpretation of neural activity.

Main Results:

The proposed taxonomy provides a structured framework for research.
The taxonomy highlights limitations in current experimental designs.
It facilitates correct interpretation of neural data in the context of behavior.

Conclusions:

Enhanced interdisciplinary communication is crucial for advancing spatial navigation.
The taxonomy aids in designing targeted experiments and interpreting findings.
This framework opens new avenues for understanding the neural basis of navigation.