Interpretation of Pupil and Running kernels

[alexpiet]

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?

[alexpiet]

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?

[alexpiet]

Pupil

Running

[alexpiet]

Very little difference in overall VE from zscoring pupil and running

[alexpiet]

23z, is pupil zscoring 23r is running and pupil zscoring

[alexpiet]

[alexpiet]

[alexpiet]

Based on these findings, the final version, 24, will have both running and pupil zscored

[alexpiet]

Some follow up analysis steps:

• check if there are mouse to mouse differences in how pupil/running are phase related to image cycle
• document differences by depth/area/experience