Hi There,
Can anyone shed some light for me? I will try to be clear, and I apologise if I'm missing something fundamental and obvious, but this needs clearing up for me! :)
Using CMC DCM , I specify forward, backward and lateral connections (A{1:3}). These then get converted into my 4 populations of cells, becoming A{1:4} in my outputted DCM. If I specify a design matrix of [0;1] for comparing one trial-type to a baseline trial-type, I am assuming that each value in exp(A{n}) will give me the difference in strength of that connection for the second trial-type from baseline (first trial-type). Is this correct?
If I enter a design matrix of, say, eye(length(trials)), why do I not get a set of A{1:4} matrices for each trial-type? Especially as I do get a series of B matrices as long as my trials. If the B matrices are showing how each trial is modulated differently from the average of all the other trials, how does that not automatically imply a different set of connectivity strengths for each population?
Any help appreciated,
Thanks in advance
Natalie Adams
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