Resolving structural variability in network models and the brain
about
Multi-scale brain networksBuilding the FerretomeWithin brain area tractography suggests local modularity using high resolution connectomicsAnnual research review: Growth connectomics--the organization and reorganization of brain networks during normal and abnormal development.Optimal trajectories of brain state transitions.Resolving anatomical and functional structure in human brain organization: identifying mesoscale organization in weighted network representations.Spatial embedding of structural similarity in the cerebral cortex.Will big data yield new mathematics? An evolving synergy with neuroscience.Generative models of the human connectomeSmall-World Propensity and Weighted Brain NetworksA simple generative model of the mouse mesoscale connectome.Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study.Constraints and spandrels of interareal connectomes.Modeling and interpreting mesoscale network dynamics.Small-World Brain Networks Revisited.Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.Quantifying Individual Brain Connectivity with Functional Principal Component Analysis for Networks.A method for validating Rent's rule for technological and biological networks.Graph Frequency Analysis of Brain Signals.From phenotype to genotype in complex brain networks.Cliques and cavities in the human connectome.Generative models for network neuroscience: prospects and promise.Developmental increases in white matter network controllability support a growing diversity of brain dynamics.The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure.Role of Graph Architecture in Controlling Dynamical Networks with Applications to Neural Systems.Drawing Inspiration from Human Brain Networks: Construction of Interconnected Virtual Networks.Rentian scaling for the measurement of optimal embedding of complex networks into physical spaceComparing two classes of biological distribution systems using network analysis
P2860
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P2860
Resolving structural variability in network models and the brain
description
2014 nî lūn-bûn
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2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年論文
@yue
2014年論文
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2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
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name
Resolving structural variability in network models and the brain
@ast
Resolving structural variability in network models and the brain
@en
type
label
Resolving structural variability in network models and the brain
@ast
Resolving structural variability in network models and the brain
@en
prefLabel
Resolving structural variability in network models and the brain
@ast
Resolving structural variability in network models and the brain
@en
P2093
P2860
P1476
Resolving structural variability in network models and the brain
@en
P2093
Florian Klimm
Jean M Carlson
Peter J Mucha
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003491
P577
2014-03-27T00:00:00Z