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Related Experiment Video

Updated: Jul 17, 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

Route sequence knowledge supports the formation of cognitive maps.

Christopher Hilton¹, Jan Wiener²

¹Department of Geography, Digital Society Initiative, University of Zurich, Zurich, Switzerland.

|September 7, 2023

Summary

Learning the sequence of places during navigation directly improves the formation of metric cognitive maps. This enhanced spatial understanding aids in creating more accurate mental representations of environments.

Keywords:

cognitive map navigation route learning sequence memory

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Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Published on: October 8, 2011

Area of Science:

Cognitive Psychology
Neuroscience
Spatial Navigation Research

Background:

Understanding how humans form cognitive maps is crucial for explaining spatial memory.
Route learning involves acquiring knowledge about both places and their order.

Purpose of the Study:

To investigate if knowledge of place sequence during route learning aids metric cognitive map formation.
To compare the impact of sequence learning versus recognition learning on spatial map quality.

Main Methods:

Participants learned a route under either Recognition Learning or Sequence Learning conditions.
Sequence knowledge was assessed via a Reconstruction of Order Task.
Cognitive map accuracy was measured using a Pointing Task.

Main Results:

Sequence Learning participants showed superior route sequence knowledge.
Both groups formed metric cognitive maps, but Sequence Learning led to significantly fewer pointing errors.
Route distance was a strong predictor of pointing error; Euclidean distance was a weaker predictor for Sequence Learning.

Conclusions:

Discrete route sequence knowledge directly supports the development of metric cognitive maps.
Findings suggest an interaction between striatal and hippocampal representations, with sequence acting as a scaffold for metric encoding.