[pymvpa] Papers discussing relationship between scanning parameters and MVPA performance?
axel.vadim at gmail.com
Wed Mar 27 14:17:52 UTC 2013
Might be this one will be helpful to you:
Check also citations to this paper - may be someone did additional work.
On Wed, Mar 27, 2013 at 6:35 AM, Gilles de Hollander <
gilles.de.hollander at gmail.com> 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.
> Gilles de Hollander
> PhD candidate at the Cognitive Science Center Amsterdam
> Pkg-ExpPsy-PyMVPA mailing list
> Pkg-ExpPsy-PyMVPA at lists.alioth.debian.org
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