[pymvpa] feature sensitivity in MVPA run on EEG data

Nick Oosterhof nikolaas.oosterhof at unitn.it
Tue Jan 28 09:58:26 UTC 2014


On Jan 27, 2014, at 6:55 PM, Marius 't Hart wrote:

> Tying in to another discussion, could it be beneficial to first average every 5 trials or so? In a way this reduces noise, so the performance would most likely go up - as might the informativeness of feature sensitivity. The downside is that you no longer have predictions on a trial by trial basis.

There is no free lunch, but it may reduce the amount of noise as you said. 

It was discussed briefly on the mailinglist recently:

http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/2014q1/002684.html


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