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Related Experiment Video

Updated: Jul 5, 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

Predictable navigation through spontaneous brain states with cognitive-map-like representations.

Siyang Li¹, Zhipeng Li², Qiuyi Liu²

¹School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China; Laboratory for Space Environment and Physical Sciences, Harbin Institute of Technology, Harbin 150001, China; Research Center for Human-Machine Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou, Zhejiang 311100, China.

Progress in Neurobiology

|January 17, 2024

Summary

This summary is machine-generated.

The brain

Keywords:

Cognitive map Dynamic brain states Mental navigation Predictive representation Spontaneous brain activity

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Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

The brain's spontaneous activity may involve internal cognitive maps for navigation.
Computational theories suggest these maps are predictive, representing states by their future occurrences.

Purpose of the Study:

To investigate if spontaneous brain states form cognitive map-like structures.
To test for future-oriented predictivity in recurring brain states using resting-state fMRI.

Main Methods:

Identified discrete brain states in navigation networks during rest.
Used pattern similarity and dimensional reduction to map brain states.
Applied successor representation modeling to analyze state predictivity.

Main Results:

Brain state occurrences showed place cell-like representations.
Observed predictive transitions between recurring brain states.
Found correlations between state transitions and cognitive/emotional assessments.

Conclusions:

Spontaneous brain activity exhibits cognitive map-like properties.
Supports the cognitive map theory as a framework for mental navigation.