tim's journal

Brain tuning to do's

Now that there is something to write about, there are some additional things to try.

Finer grid

My grid has been quite coarse, a finer grid may or may not lead to better results but certainly take longer to compute.

Statistics

Ideally I should run several permutations of the data and compare least squares to correlation coefficient, and both against the p=1/7 statistics.

Subtracting the "common" signal

So far I have not made any effort to locate and subtract a common signal across the prototypes. This may be worthwhile. The idea would be to average all the prototypes together, and then subtract that signal from each prototype. I tried it for the math problems but the statistics here should be able to show whether it makes a difference or not.