about
Modeling and interpreting mesoscale network dynamics.Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.A network engineering perspective on probing and perturbing cognition with neurofeedback.Optimal deployment of resources for maximizing impact in spreading processes.Developmental increases in white matter network controllability support a growing diversity of brain dynamics.From Maps to Multi-dimensional Network Mechanisms of Mental Disorders.The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure.Role of Graph Architecture in Controlling Dynamical Networks with Applications to Neural Systems.Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain GraphsCommon Functional Brain States Encode both Perceived Emotion and the Psychophysiological Response to Affective Stimuli
P2860
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P2860
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունվարին հրատարակված գիտական հոդված
@hy
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
name
Optimal trajectories of brain state transitions.
@ast
Optimal trajectories of brain state transitions.
@en
type
label
Optimal trajectories of brain state transitions.
@ast
Optimal trajectories of brain state transitions.
@en
prefLabel
Optimal trajectories of brain state transitions.
@ast
Optimal trajectories of brain state transitions.
@en
P2093
P2860
P1433
P1476
Optimal trajectories of brain state transitions.
@en
P2093
Fabio Pasqualetti
Marcelo G Mattar
Matthew Cieslak
Philip R Delio
Richard F Betzel
Scott T Grafton
P2860
P304
P356
10.1016/J.NEUROIMAGE.2017.01.003
P407
P577
2017-01-11T00:00:00Z
P698
P818
1607.01706