Using Statistical Distribution to Identify the Influence Connections in Brain Networks
Author:
Affiliation:
1. Shanghai University,School of Computer Engineering and Science,Shanghai,China,200444
2. Xi’an Jiaotong-Liverpool University,School of AI and Advanced Computing,Suzhou,China,215412
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10438707/10438705/10438762.pdf?arnumber=10438762
Reference13 articles.
1. Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty
2. On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions;Zhang;arXiv,2023
3. Inferring Edges from Weights in the Debye Model
4. Temporal Neighborhood Change Centrality for Important Node Identification in Temporal Networks
5. Finding influential nodes for integration in brain networks using optimal percolation theory
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