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Looking closely at some of your steps here, I was wondering: for CAR, I definitely like getting the median of each timepoint in multichannel data to remove the common mode, but curious about the advantage of taking the median of each individual channel as well -- did you find a need for this in your experience?
Thanks!
P.S. not sure how to flag this as a question, rather than as a code issue... sorry!
The text was updated successfully, but these errors were encountered:
It's necessary for neuropixels, which have an offset in the baseline value
from channel to channel. That's essentially a hardware 'bug'. In general if
a highpass filter has been applied then of course this will not be
necessary.
On Mon, Feb 5, 2024 at 1:38 PM Ed Bello ***@***.***> wrote:
Hey Nick,
Looking closely at some of your steps here, I was wondering: for CAR, I
definitely like getting the median of each timepoint in multichannel data
to remove the common mode, but curious about the advantage of taking the
median of each individual channel as well -- did you find a need for this
in your experience?
Thanks!
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Hey Nick,
Looking closely at some of your steps here, I was wondering: for CAR, I definitely like getting the median of each timepoint in multichannel data to remove the common mode, but curious about the advantage of taking the median of each individual channel as well -- did you find a need for this in your experience?
Thanks!
P.S. not sure how to flag this as a question, rather than as a code issue... sorry!
The text was updated successfully, but these errors were encountered: