Empirical Bayes for DCM: a group inversion scheme

Empirical Bayes for DCM: a group inversion scheme

This technical note considers a simple but important methodological issue in estimating effective connectivity; namely, how do we integrate measurements from multiple subjects to infer functional brain architectures that are conserved over subjects. We offer a solution to this problem that rests on...

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Bibliographic Details
Main Authors: Karl eFriston, Peter eZeidman, Vladimir eLitvak
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-11-01
Series:Frontiers in Systems Neuroscience
Subjects:
dynamic causal modelling
Fixed Effects
random effects
Empirical bayes
hierarchical modelling
Bayesian model reduction
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2015.00164/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnsys.2015.00164/full

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