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Updated: Aug 11, 2025

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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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Network structure influences the strength of learned neural representations
Ari E Kahn1, Karol Szymula2, Sophie Loman3
1Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, 08540 USA.
Biorxiv : the Preprint Server for Biology
|February 7, 2023
Summary
The brain
Area of Science:
- Neuroscience
- Cognitive Science
- Machine Learning
Background:
- Human learning relies on modeling event sequences.
- Graph learning forms mental models of event transitions.
- Neural basis for varying network structure learning difficulty is unknown.
Conclusions:
- Network structure significantly influences neural representation fidelity and dimensionality.
- Brain representations adapt to the learned graph context.
- Findings highlight the role of network context in learning strength and adaptation.
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