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Feature: Pupil Deconvolution (port from pyeparse) #12505

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Reference issue

This PR implements the last feature proposed for my GSoC in #11879 that I didn't get to over the summer.

What does this implement/fix?

This basically ports the pupil deconvolution code from (the unmaintained?) https://github.com/pyeparse/pyeparse , and which was used for @larsoner and @drammock 's pupil deconvolution paper in 2016.

Additional information

I made some minor changes to the code and docstring to work with MNE's API and follow MNE conventions (and make the code more modern i.e. use format specifiers instead of percent specifiers).

To check that the ported code in this branch behaves similarly to the code in pyeparse, I re-ran the scripts to deconvolve the data and generate figure 3 in Dan and Eric's paper (The original scripts used the deconvolution method from pyeparse, and I updated the scripts to use the MNE API in this branch:

Library Figure 3
Pyeparse Pyeparse
MNE MNE

Possible Alternatives

I have not opened an issue for deconvolution specifically, so if there are concerns about merging this into MNE or other ideas, don't hesitate to share.

This basically ports the code from pyeparse, with slight updates to work with mne and match mne and modern python conventions.
@scott-huberty scott-huberty changed the title Feature: Pupil Deconvolution (port from prepares) Feature: Pupil Deconvolution (port from pyeparse) Mar 19, 2024
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A couple of nitpick, questions, but it looks great, don't forget to add a changelog entry!
Thanks @scott-huberty

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scott-huberty and others added 6 commits March 19, 2024 10:00
From Mathieu and Eric

Co-authored-by: Mathieu Scheltienne <mathieu.scheltienne@gmail.com>
Co-authored-by: Eric Larson <larson.eric.d@gmail.com>
Co-authored-by: Mathieu Scheltienne <mathieu.scheltienne@gmail.com>
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3 participants