<div dir="ltr"><div class="gmail_default" style="font-family:georgia,serif;font-size:large;color:rgb(0,0,0)">hi Nick, yes I did - <br>zscore(ds, chunks_attr=‘task’)<br></div><div class="gmail_default" style="font-family:georgia,serif;font-size:large;color:rgb(0,0,0)">
(I am training the classifier on task 1 and then testing<br>on task 2, and zscoring done within each one)<br></div><div class="gmail_default" style="font-family:georgia,serif;font-size:large;color:rgb(0,0,0)">cheers<br>ds<br>
</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Fri, Aug 8, 2014 at 5:36 PM, Nick Oosterhof <span dir="ltr"><<a href="mailto:nikolaas.oosterhof@unitn.it" target="_blank">nikolaas.oosterhof@unitn.it</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div class="">On Aug 8, 2014, at 5:55 PM, David Soto <<a href="mailto:d.soto.b@gmail.com">d.soto.b@gmail.com</a>> wrote:<br>
<br>
> Thanks for the response, yes I tried to do a cross-subjects classification<br>
> and got some results but looked noisy (0.58 classification accuracy<br>
> only on some voxels following a  whole brain search light)....however in the univariate<br>
> FEAT GLM I get robust activations which overlap spatially across the different conditions.<br>
<br>
</div>Did you normalize the data (e.g. z-scoring)? Please see my previous message for why that could be useful.<br>
<div class="HOEnZb"><div class="h5"><br>
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