Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal.
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Smoothing of, and parameter estimation from, noisy biophysical recordingsEEG-fMRI integration: a critical review of biophysical modeling and data analysis approaches.Bayesian comparison of neurovascular coupling models using EEG-fMRI.Partial Correlation-Based Retinotopically Organized Resting-State Functional Connectivity Within and Between Areas of the Visual Cortex Reflects More Than Cortical Distance.Dynamic modeling of neuronal responses in fMRI using cubature Kalman filteringOn the distinguishability of HRF models in fMRI.Anatomically-constrained effective connectivity among layers in a cortical column modeled and estimated from local field potentials.Design of optimal nonlinear network controllers for Alzheimer's disease.Relationship Between Flow and Metabolism in BOLD Signals: Insights from Biophysical Models
P2860
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P2860
Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
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2008年學術文章
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name
Identification and comparison ...... generation of the BOLD signal.
@en
Identification and comparison of stochastic metabolic/hemodynamic models
@nl
type
label
Identification and comparison ...... generation of the BOLD signal.
@en
Identification and comparison of stochastic metabolic/hemodynamic models
@nl
prefLabel
Identification and comparison ...... generation of the BOLD signal.
@en
Identification and comparison of stochastic metabolic/hemodynamic models
@nl
P2860
P50
P1476
Identification and comparison ...... generation of the BOLD signal
@en
P2093
Felix Carbonell
Roberto C Sotero
P2860
P2888
P304
P356
10.1007/S10827-008-0109-3
P577
2008-10-03T00:00:00Z