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Updated: Mar 9, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
The representation of space in the brain
Roddy M Grieves1, Kate J Jeffery1
1University College London, Institute of Behavioural Neuroscience, Department of Experimental Psychology, London, UK.
Animals possess internal cognitive maps for navigation, supported by specialized brain cells. This review explores known cells like place cells and head direction cells, and lesser-understood neurons that may enhance spatial representation.
Area of Science:
- Neuroscience
- Animal Behavior
- Cognitive Science
Background:
- Animals exhibit complex navigation behaviors suggesting internal spatial representations or 'cognitive maps'.
- Decades of research have advanced understanding of spatial navigation in humans and animals.
- Electrophysiological studies have identified key neuronal types involved in spatial memory and navigation.
Purpose of the Study:
- To review the established roles of place cells, head direction cells, and grid cells in cognitive mapping.
- To explore other spatially modulated neurons that contribute to spatial representation.
- To provide a comprehensive understanding of the neural basis of spatial navigation.
Main Methods:
- Literature review of behavioral, electrophysiological, and neuroscience research.
- Synthesis of findings on well-characterized spatial navigation neurons.
- Analysis of studies on less understood spatially modulated neurons.
Main Results:
- Place cells, head direction cells, and grid cells are crucial for cognitive mapping.
- Numerous other spatially modulated neurons also contribute to spatial representation.
- These diverse neuronal populations collectively form a sophisticated neural basis for navigation.
Conclusions:
- A comprehensive understanding of spatial navigation requires studying all types of spatially modulated neurons.
- The cognitive map is likely supported by a network of diverse neuronal cell types beyond the well-known ones.
- Further research into lesser-understood neurons will refine our model of the brain's spatial navigation system.
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