Dynamic causal modelling revisited

This paper revisits the dynamic causal modelling of fMRI timeseries by replacing the usual (Taylor) approximation to neuronal dynamics with a neural mass model of the canonical microcircuit. This provides a generative or dynamic causal model of laminar specific responses that can generate haemodynam...

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Vydané v:	NeuroImage (Orlando, Fla.) Ročník 199; s. 730 - 744
Hlavní autori:	Friston, K.J., Preller, Katrin H., Mathys, Chris, Cagnan, Hayriye, Heinzle, Jakob, Razi, Adeel, Zeidman, Peter
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.10.2019 Elsevier Limited Academic Press
Predmet:	Adult Attention Bayesian Bayesian analysis Blood Brain - diagnostic imaging Brain - physiology Cortex Dynamic causal modelling Effective connectivity Electroencephalography Functional magnetic resonance imaging Functional Neuroimaging - methods Haemodynamic models Hemodynamics Hemodynamics - physiology Humans Interneurons Magnetic Resonance Imaging Mathematical models Models, Biological Motion detection Motion Perception - physiology Nerve Net - diagnostic imaging Nerve Net - physiology Neural mass models Neurovascular Coupling - physiology Population Pyramidal cells Sensory neurons Time series Visual perception Haemodynamic models Neural mass models Bayesian Dynamic causal modelling Effective connectivity
ISSN:	1053-8119, 1095-9572, 1095-9572
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