Functional brain networks formed using cross-sample entropy are scale free
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Combining Partial Directed Coherence and Graph Theory to Analyse Effective Brain Networks of Different Mental TasksNetwork science and the human brain: Using graph theory to understand the brain and one of its hubs, the amygdala, in health and disease.Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction.Small-World Propensity and Weighted Brain NetworksOrganization and control of epileptic circuits in temporal lobe epilepsy.Cohesive network reconfiguration accompanies extended training.Functional hypergraph uncovers novel covariant structures over neurodevelopment.Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics
P2860
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P2860
Functional brain networks formed using cross-sample entropy are scale free
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
Functional brain networks formed using cross-sample entropy are scale free
@ast
Functional brain networks formed using cross-sample entropy are scale free
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type
label
Functional brain networks formed using cross-sample entropy are scale free
@ast
Functional brain networks formed using cross-sample entropy are scale free
@en
prefLabel
Functional brain networks formed using cross-sample entropy are scale free
@ast
Functional brain networks formed using cross-sample entropy are scale free
@en
P2093
P2860
P356
P1433
P1476
Functional brain networks formed using cross-sample entropy are scale free
@en
P2093
Jonathan H Burdette
Paul J Laurienti
Satoru Hayasaka
Walter S Pritchard
P2860
P304
P356
10.1089/BRAIN.2013.0217
P577
2014-07-22T00:00:00Z