Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
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Circuit to construct mapping: a mathematical tool for assisting the diagnosis and treatment in major depressive disorderEffective connectivity during animacy perception--dynamic causal modelling of Human Connectome Project dataVBA: a probabilistic treatment of nonlinear models for neurobiological and behavioural dataChanges in effective connectivity by propofol sedationConstruct validation of a DCM for resting state fMRI.Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference.Inhibitory behavioral control: a stochastic dynamic causal modeling study using network discovery analysis.Stochastic dynamic causal modeling of working memory connections in cocaine dependenceInhibitory behavioral control: A stochastic dynamic causal modeling study comparing cocaine dependent subjects and controlsImpaired Frontal-Basal Ganglia Connectivity in Male Adolescents with Conduct Disorder.A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements.A hierarchy of timescales explains distinct effects of local inhibition of primary visual cortex and frontal eye fieldsDiscriminative analysis of non-linear brain connectivity in schizophrenia: an fMRI Study.Effective Connectivity within the Mesocorticolimbic System during Resting-State in Cocaine Users.Resting state functional MRI in Parkinson's disease: the impact of deep brain stimulation on 'effective' connectivity.The impact of hemodynamic variability and signal mixing on the identifiability of effective connectivity structures in BOLD fMRIInteractions of the Salience Network and Its Subsystems with the Default-Mode and the Central-Executive Networks in Normal Aging and Mild Cognitive Impairment.Dynamic models of large-scale brain activity.An electrophysiological validation of stochastic DCM for fMRI.Spatiotemporal independent component analysis combine general linear model applied to fMRI for eliminating neural noise.Interactions of Insula Subdivisions-Based Networks with Default-Mode and Central-Executive Networks in Mild Cognitive Impairment.Retrosplenial Cortex Indexes Stability beyond the Spatial Domain.Dissociating Landmark Stability from Orienting Value Using Functional Magnetic Resonance Imaging.Disambiguating brain functional connectivity.Dopaminergic Modulation of the Functional Ventrodorsal Architecture of the Human Striatum.Alteration of brain network topology in HIV-associated neurocognitive disorder: A novel functional connectivity perspective.
P2860
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P2860
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
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2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@ast
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@en
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@nl
type
label
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@ast
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@en
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@nl
prefLabel
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@ast
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@en
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@nl
P2860
P50
P1433
P1476
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?
@en
P2860
P304
P356
10.1016/J.NEUROIMAGE.2012.04.061
P407
P577
2012-05-09T00:00:00Z