Title
Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches.
Abstract
Our mysterious brain is believed to operate near a non-equilibrium point and generate critical self-organized avalanches in neuronal activity. A central topic in neuroscience is to elucidate the underlying circuitry mechanisms of neuronal avalanches in the brain. Recent experimental evidence has revealed significant heterogeneity in both synaptic input and output connectivity, but whether the structural heterogeneity participates in the regulation of neuronal avalanches remains poorly understood. By computational modeling, we predict that different types of structural heterogeneity contribute distinct effects on avalanche neurodynamics. In particular, neuronal avalanches can be triggered at an intermediate level of input heterogeneity, but heterogeneous output connectivity cannot evoke avalanche dynamics. In the criticality region, the co-emergence of multi-scale cortical activities is observed, and both the avalanche dynamics and neuronal oscillations are modulated by the input heterogeneity. Remarkably, we show similar results can be reproduced in networks with various types of in- and out-degree distributions. Overall, these findings not only provide details on the underlying circuitry mechanisms of nonrandom synaptic connectivity in the regulation of neuronal avalanches, but also inspire testable hypotheses for future experimental studies.
Year
DOI
Venue
2019
10.1016/j.neunet.2018.10.017
Neural Networks
Keywords
Field
DocType
Self-organized activity,Neural avalanche,Structural heterogeneity,Criticality
Neuroscience,Premovement neuronal activity,Control theory,Input/output,Mathematics
Journal
Volume
Issue
ISSN
110
1
0893-6080
Citations 
PageRank 
References 
0
0.34
7
Authors
10
Name
Order
Citations
PageRank
Shengdun Wu170.97
Yangsong Zhang27511.65
Yan Cui3269.56
Heng Li4217.48
Jiakang Wang500.34
Lijun Guo600.34
Yang Xia7102.75
Dezhong Yao835763.41
Peng Xu915927.18
Daqing Guo1003.04