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Related Experiment Video

Updated: Jan 29, 2026

Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System

Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System

Published on: May 5, 2022

Non-Euclidean navigation.

William H Warren¹

¹Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA Bill_Warren@brown.edu.

The Journal of Experimental Biology

|February 8, 2019

Summary

This summary is machine-generated.

Humans may not use Euclidean cognitive maps for navigation. Instead, spatial knowledge might be a "cognitive graph," explaining navigation in complex environments and supporting novel detours and shortcuts.

Keywords:

Cognitive graph Cognitive map Path integration Spatial cognition Wayfinding

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Last Updated: Jan 29, 2026

Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System

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Published on: September 13, 2022

Practical Methodology of Cognitive Tasks Within a Navigational Assessment

Practical Methodology of Cognitive Tasks Within a Navigational Assessment

Published on: June 1, 2015

Area of Science:

Cognitive Science
Neuroscience
Spatial Navigation

Background:

Navigation relies on strategies, including homing, detours, and shortcuts.
The prevailing hypothesis suggests Euclidean cognitive maps, built via path integration, enable novel detours and shortcuts in humans and animals.
Evidence for metric cognitive maps in animals is scarce, and human shortcut performance is often unreliable and biased.

Purpose of the Study:

To critically review the evidence for the metric cognitive map hypothesis.
To propose and test an alternative hypothesis: spatial knowledge as a labeled cognitive graph.
To investigate human navigation in non-Euclidean environments.

Main Methods:

Review of existing behavioral evidence for cognitive maps.
Development of the cognitive graph hypothesis.
Experiments using immersive virtual reality to test human navigation in non-Euclidean spaces.

Main Results:

The metric cognitive map hypothesis was found unpersuasive due to limited evidence for novel shortcuts and human performance biases.
Human navigation in non-Euclidean environments showed significant violations of metric postulates when taking shortcuts.
Findings support the cognitive graph hypothesis over the Euclidean map hypothesis.

Conclusions:

Spatial knowledge is better represented as a cognitive graph—a network of paths with local metric information—rather than a global Euclidean map.
Geometrically inconsistent spatial knowledge is characteristic of the cognitive graph model.
Human path integration likely involves piecewise measurements, supporting the cognitive graph model and explaining apparent Euclidean behaviors through adaptive non-Euclidean strategies.