"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
about
Ten simple rules for dynamic causal modeling.A DCM for resting state fMRIOn nodes and modes in resting state fMRIDwelling quietly in the rich club: brain network determinants of slow cortical fluctuations.Connecting connectomesThe graphical brain: Belief propagation and active inference.Analyzing effective connectivity with functional magnetic resonance imaging.Construct validation of a DCM for resting state fMRI.Investigating the neural basis for functional and effective connectivity. Application to fMRI.Time-resolved resting-state brain networks.Network dynamics of the epileptic brain at rest.Network discovery with DCMUsing large-scale neural models to interpret connectivity measures of cortico-cortical dynamics at millisecond temporal resolutionDynamics of a neural system with a multiscale architecture.Perception and self-organized instabilityAnalysing connectivity with Granger causality and dynamic causal modellingBayesian switching factor analysis for estimating time-varying functional connectivity in fMRI.Dynamic models of large-scale brain activity.A comparison of different synchronization measures in electroencephalogram during propofol anesthesia.LORETA EEG phase reset of the default mode network.The frustrated brain: from dynamics on motifs to communities and networks.Altered intrinsic and extrinsic connectivity in schizophrenia.Genomic instantiation of consciousness in neurons through a biophoton field theory.Neural decoding of visual stimuli varies with fluctuations in global network efficiency.A systems-level approach to human epileptic seizures.Model-based neuroimaging for cognitive computing.Associable representations as field of influence for dynamic cognitive processes.Large-scale DCMs for resting-state fMRI.Phase response curves in the characterization of epileptiform activity.Small-world properties of nonlinear brain activity in schizophrenia.Critical Slowing and PerceptionAnticorrelations between Active Brain Regions: An Agent-Based Model Simulation Study.Detection of weak directional coupling: Phase-dynamics approach versus state-space approach
P2860
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P2860
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
@ast
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
@en
type
label
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
@ast
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
@en
prefLabel
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
@ast
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
@en
P356
P1433
P1476
"Dynamic" connectivity in neural systems: theoretical and empirical considerations.
@en
P2888
P304
P356
10.1385/NI:2:2:205
P577
2004-01-01T00:00:00Z
P6179
1020660975