Might be this one will be helpful to you: http://www.sciencedirect.com/science/article/pii/S1053811910007834
Check also citations to this paper - may be someone did additional work. On Wed, Mar 27, 2013 at 6:35 AM, Gilles de Hollander < [email protected]> wrote: > Hi there, > > I have been quite reading a bit about MVPA the past year, but found little > papers that focus on the very practical sides of MVPA. More specifically, > I'm looking for any literature that discusses the influence of different > scanning parameters, number of trials, number of participants and > Signal-to-Noise ratios on experimental power/classifier performance. Does > anyone know such a paper? > > I have a paper in review right now and my reviewer says that we should > have looked into this. I think this sounds nice, but a bit naive: not that > * *much studies have been done and researchers don't publish stuff that > doesn't show significant effects. Also, I guess the influence of all these > parameters covary heavily with the task and ROIs at hand. To say you need n > subjects with m trials, depending on the SNR by factor x is not really > possible would be my hunch. Or am I missing something here? I'm glad to > hear your opinion about this. > > Thanks, > Gilles de Hollander > PhD candidate at the Cognitive Science Center Amsterdam > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa >
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