Adiabatic dynamic causal modelling

Adiabatic dynamic causal modelling

This technical note introduces adiabatic dynamic causal modelling, a method for inferring slow changes in biophysical parameters that control fluctuations of fast neuronal states. The application domain we have in mind is inferring slow changes in variables (e.g., extracellular ion concentrations or...

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Bibliographic Details
Main Authors: Amirhossein Jafarian, Peter Zeidman, Rob. C Wykes, Matthew Walker, Karl J. Friston
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:NeuroImage
Subjects:
Dynamic causal modelling
Cross spectral density
Phase transition
Adiabatic approximation
Bayesian model selection
Bayesian model reduction
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921005206

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http://www.sciencedirect.com/science/article/pii/S1053811921005206

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