The geometry and dimensionality of brain-wide activity

Understanding neural activity organization is vital for deciphering brain function. By recording whole-brain calcium activity in larval zebrafish during hunting and spontaneous behaviors, we find that the shape of the neural activity space, described by the neural covariance spectrum, is scale-invariant: a smaller, randomly sampled cell assembly resembles the entire brain. This phenomenon can be explained by Euclidean Random Matrix theory, where neurons are reorganized from anatomical to functional positions based on their correlations. Three factors contribute to the observed scale invariance: slow neural correlation decay, higher functional space dimension, and neural activity heterogeneity. In addition to matching data from zebrafish and mice, our theory and analysis demonstrate how the geometry of neural activity space evolves with population sizes and sampling methods, thus revealing an organizing principle of brain-wide activity.

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Publication Details

Journal
eLife
Published
2025-05-07
DOI
https://doi.org/10.7554/elife.100666.3
Citations
3
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
4.29

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article

The geometry and dimensionality of brain-wide activity

Zezhen Wang, Yu Hu, Hongtai Ren, Quan Wen et al.
3 citations
eLife
Neural dynamics and brain function
4.29
article

The geometry and dimensionality of brain-wide activity

Zezhen Wang, Yu Hu, Hongtai Ren, Quan Wen, Shiwu Zhang, Weihao Mai, Yuming Chai, Kexin Qi, Chen Shen, Guodong Tan
article en
3 citations

Abstract

Understanding neural activity organization is vital for deciphering brain function. By recording whole-brain calcium activity in larval zebrafish during hunting and spontaneous behaviors, we find that the shape of the neural activity space, described by the neural covariance spectrum, is scale-invariant: a smaller, randomly sampled cell assembly resembles the entire brain. This phenomenon can be explained by Euclidean Random Matrix theory, where neurons are reorganized from anatomical to functional positions based on their correlations. Three factors contribute to the observed scale invariance: slow neural correlation decay, higher functional space dimension, and neural activity heterogeneity. In addition to matching data from zebrafish and mice, our theory and analysis demonstrate how the geometry of neural activity space evolves with population sizes and sampling methods, thus revealing an organizing principle of brain-wide activity.

eLifeVol. 14
University of Science and Technology of China (CN), Hong Kong University of Science and Technology (HK), Hefei National Center for Physical Sciences at Nanoscale (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Research Grants Council, University Grants Committee
Openalex Percentile: Top 6%
Neural dynamics and brain function
4.29
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