Identifying effective connectivity parameters in simulated fMRI: a direct comparison of switching linear dynamic system, stochastic dynamic causal, and multivariate autoregressive models
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Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions.Interpreting the effects of altered brain anatomical connectivity on fMRI functional connectivity: a role for computational neural modeling.Patterns of effective connectivity during memory encoding and retrieval differ between patients with mild cognitive impairment and healthy older adults.Sparse Estimation of Resting-State Effective Connectivity From fMRI Cross-Spectra.
P2860
Identifying effective connectivity parameters in simulated fMRI: a direct comparison of switching linear dynamic system, stochastic dynamic causal, and multivariate autoregressive models
description
2013 nî lūn-bûn
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2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
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2013年论文
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2013年论文
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name
Identifying effective connecti ...... ivariate autoregressive models
@en
type
label
Identifying effective connecti ...... ivariate autoregressive models
@en
prefLabel
Identifying effective connecti ...... ivariate autoregressive models
@en
P2093
P2860
P356
P1476
Identifying effective connecti ...... ivariate autoregressive models
@en
P2093
Ajay S Pillai
Barry Horwitz
Jason F Smith
P2860
P356
10.3389/FNINS.2013.00070
P50
P577
2013-05-14T00:00:00Z