Open alexpiet opened 4 years ago
I wonder if we can do this by convolving the kernels with a long boxcar? Do we also need convolutions with like ramps or oscillations?
Very little difference in overall VE from zscoring pupil and running
23z, is pupil zscoring 23r is running and pupil zscoring
Based on these findings, the final version, 24, will have both running and pupil zscored
Some follow up analysis steps:
For the discrete kernels, looking at the temporal plots is pretty meaningful, since each kernel gets added just once.
However for the continuous kernels the kernels get convolved against some long time-trace, and small features that might not look significant might become really large once amplified.
Can we find a better way to visualize these kernels?