Dynamic causal modelling of distributed electromagnetic responses.
about
Ten simple rules for dynamic causal modeling.Incorporating priors for EEG source imaging and connectivity analysisHuman brain networks function in connectome-specific harmonic waves.Comparing families of dynamic causal modelsReversal of cortical information flow during visual imagery as compared to visual perceptionA dynamic causal model study of neuronal population dynamicsGenerative embedding for model-based classification of fMRI data.Insights on the Neuromagnetic Representation of Temporal Asymmetry in Human Auditory Cortex.Subcortical amygdala pathways enable rapid face processing.New levels of language processing complexity and organization revealed by granger causation.Dynamic causal modeling with neural fieldsEffective connectivity associated with auditory error detection in musicians with absolute pitch.Computational and dynamic models in neuroimaging.Axonal velocity distributions in neural field equations.EEG and MEG data analysis in SPM8.Concepts of connectivity and human epileptic activityDCM for complex-valued data: cross-spectra, coherence and phase-delays.Dynamic causal modelling of anticipatory skin conductance responses.Hemodynamic traveling waves in human visual cortex.Dynamic causal modeling of spontaneous fluctuations in skin conductance.MEG/EEG source reconstruction, statistical evaluation, and visualization with NUTMEG.Annealed Importance Sampling for Neural Mass Models.Large-scale intrinsic functional network organization along the long axis of the human medial temporal lobe.Modulation of effective connectivity during vocalization with perturbed auditory feedback.Interpreting the effects of altered brain anatomical connectivity on fMRI functional connectivity: a role for computational neural modeling.Dissecting psychiatric spectrum disorders by generative embedding.The brain ages optimally to model its environment: evidence from sensory learning over the adult lifespan.Long-range connectomicsMultivariate dynamical modelling of structural change during development.Network diffusion accurately models the relationship between structural and functional brain connectivity networks.Effective connectivity: influence, causality and biophysical modelingComparing dynamic causal models using AIC, BIC and free energy.Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review.Dynamic causal modelling for functional near-infrared spectroscopy.An electrophysiological validation of stochastic DCM for fMRI.Dynamic causal modelling of lateral interactions in the visual cortexThe Dynamics of Neural Fields on Bounded Domains: An Interface Approach for Dirichlet Boundary Conditions.Frequency distribution of causal connectivity in rat sensorimotor network: resting-state fMRI analyses.Response to Comment on "Preserved Feedforward But Impaired Top-Down Processes in the Vegetative State"
P2860
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P2860
Dynamic causal modelling of distributed electromagnetic responses.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
Dynamic causal modelling of distributed electromagnetic responses.
@en
Dynamic causal modelling of distributed electromagnetic responses.
@nl
type
label
Dynamic causal modelling of distributed electromagnetic responses.
@en
Dynamic causal modelling of distributed electromagnetic responses.
@nl
prefLabel
Dynamic causal modelling of distributed electromagnetic responses.
@en
Dynamic causal modelling of distributed electromagnetic responses.
@nl
P2860
P50
P1433
P1476
Dynamic causal modelling of distributed electromagnetic responses.
@en
P2860
P304
P356
10.1016/J.NEUROIMAGE.2009.04.062
P407
P577
2009-05-03T00:00:00Z