[pymvpa] classification based on individual parameter estimates from FSL

[Nick Oosterhof]

On Aug 8, 2014, at 5:55 PM, David Soto <d.soto.b at gmail.com> wrote:

> Thanks for the response, yes I tried to do a cross-subjects classification
> and got some results but looked noisy (0.58 classification accuracy
> only on some voxels following a  whole brain search light)....however in the univariate
> FEAT GLM I get robust activations which overlap spatially across the different conditions. 

Did you normalize the data (e.g. z-scoring)? Please see my previous message for why that could be useful.