Discovering causal relations and equations from data
Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …
questions about why natural phenomena occur and to make testable models that explain the …
Functional and effective connectivity: a review
KJ Friston - Brain connectivity, 2011 - liebertpub.com
Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …
neuroscience. One might envisage that over the next 20 years the neuroimaging of …
A free energy principle for a particular physics
K Friston - ar** the self in the brain's default mode network
The brain's default mode network (DMN) has become closely associated with self-referential
mental activity, particularly in the resting-state. While the DMN is important for such …
mental activity, particularly in the resting-state. While the DMN is important for such …
The salience network is responsible for switching between the default mode network and the central executive network: replication from DCM
N Goulden, A Khusnulina, NJ Davis, RM Bracewell… - Neuroimage, 2014 - Elsevier
With the advent of new analysis methods in neuroimaging that involve independent
component analysis (ICA) and dynamic causal modelling (DCM), investigations have …
component analysis (ICA) and dynamic causal modelling (DCM), investigations have …
[PDF][PDF] SPM12 manual
This chapter focuses on the imaging (or distributed) method for implementing EEG/MEG
source reconstruction in SPM. This approach results in a spatial projection of sensor data …
source reconstruction in SPM. This approach results in a spatial projection of sensor data …
A Hitchhiker's guide to functional magnetic resonance imaging
Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular
both with clinicians and researchers as they are capable of providing unique insights into …
both with clinicians and researchers as they are capable of providing unique insights into …
A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula
We begin by reviewing the statistical framework of information theory as applicable to
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …
Bayesian analysis of neuroimaging data in FSL
Typically in neuroimaging we are looking to extract some pertinent information from
imperfect, noisy images of the brain. This might be the inference of percent changes in blood …
imperfect, noisy images of the brain. This might be the inference of percent changes in blood …
[HTML][HTML] 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 …
(Taylor) approximation to neuronal dynamics with a neural mass model of the canonical …