A Topological Criterion for Filtering Information in Complex Brain Networks.
about
Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery.A statistical model for brain networks inferred from large-scale electrophysiological signals.Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation.Improving resolution of dynamic communities in human brain networks through targeted node removal.Tracking the Reorganization of Module Structure in Time-Varying Weighted Brain Functional Connectivity Networks.Consensus clustering approach to group brain connectivity matrices.Finding influential nodes for integration in brain networks using optimal percolation theory.A comparison between scalp- and source-reconstructed EEG networks
P2860
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P2860
A Topological Criterion for Filtering Information in Complex Brain Networks.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
A Topological Criterion for Filtering Information in Complex Brain Networks.
@ast
A Topological Criterion for Filtering Information in Complex Brain Networks.
@en
type
label
A Topological Criterion for Filtering Information in Complex Brain Networks.
@ast
A Topological Criterion for Filtering Information in Complex Brain Networks.
@en
prefLabel
A Topological Criterion for Filtering Information in Complex Brain Networks.
@ast
A Topological Criterion for Filtering Information in Complex Brain Networks.
@en
P2860
P50
P1476
A Topological Criterion for Filtering Information in Complex Brain Networks
@en
P2093
Fabrizio De Vico Fallani
Mario Chavez
P2860
P304
P356
10.1371/JOURNAL.PCBI.1005305
P577
2017-01-11T00:00:00Z
P698
P818
1603.08445