不变(物理)
钙显像
维数之咒
神经活动
人口
维数(图论)
数学
模式识别(心理学)
人工智能
计算机科学
神经科学
生物系统
生物
纯数学
化学
人口学
有机化学
社会学
钙
数学物理
作者
Zezhen Wang,Weihao Mai,Yuming Chai,Kexin Qi,Hongtai Ren,Chen Shen,Shiwu Zhang,Guodong Tan,Yu Hu,Quan Wen
标识
DOI:10.1101/2023.02.23.529673
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI