A complex bug with y_scales and multi-channel data
sg-s opened this issue · 0 comments
sg-s commented
Problem: different channels have different scales, and combining them together (or even normalziging one channel across time) needs some scale to work with.
This is what is stored in the common.y_scales
array. However, this is computed once, at initial file load, which means it may be wildly off if the data in the first file is filled with nonsense.
Workaround: update it when using mulit-channel dimensionality reduction