Dear Will,
thank you for the references. These papers are very interesting, but as
far as I see it they do not address the question, whether BMS (of e.g. a
two DCMs) is robust over a range of neural and hemodynamic parameter
configurations (that are used to generate the data with one of the
models). Admittedly, this is no trivial question.
Best,
Martin
--
SPM for programmers
http://spm.martinpyka.de
Am 02.05.2012 16:53, schrieb Penny, William:
> Dear Martin,
>
> To my knowledge there are a number of papers on your last topic.
>
> Synthetic data with different neural parameters (connectivity structures):
>
> W.D. Penny, K.E. Stephan, A. Mechelli, and K.J. Friston. Comparing Dynamic Causal Models. NeuroImage, 22(3):1157-1172, 2004.
>
> W. Penny (2011). Comparing Dynamic Causal Models using AIC, BIC and Free Energy. Neuroimage. Available online 27 July 2011.
>
> Synthetic data with different hemodynamic models:
>
> K.E. Stephan, N. Weiskopf, P.M. Drysdale, P.A. Robinson, and K.J. Friston. Comparing hemodynamic models with DCM. NeuroImage, 38:387-401, 2007
>
> Best, Will
>
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