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This is a Quantitative Study study.

October 5, 2025Open Access

Neural Receptive Fields, Stimulus Space Embedding and Effective Geometry of Scale-Free Networks

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Localized attractors emerge from hyperbolic geometry, reflecting the structure of stimulus space and enhancing understanding of neural dynamics.
The model shows a direct relationship between neural connectivity and receptive field size, implying a new perspective on neuronal organization.
Experimental evidence from hippocampal place fields supports the model, highlighting its applicability across varying stimulus modalities.
This framework provides insights into the organization of receptive fields and their relation to network structure within neuroscience.

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The study demonstrates how receptive fields organize in scale-free networks, suggesting novel implications for neural dynamics and stimulus space.

Tiselko et al. (2025) studied this question.

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The study demonstrates how receptive fields organize in scale-free networks, suggesting novel implications for neural dynamics and stimulus space.