Conversation
|
Hello! 👋 Thanks for opening your first pull request here! ❤️ We will try to get back to you soon. 🚴 |
Contributor
Author
|
Yes I'm happy with the changes. Simplified code looks good! |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Related to #8666.
Implemented support for custom diagonal source covariance matrix by adding
source_covparameter formne.minimum_norm.make_inverse_operator. The motivation for this addition is to usesource_covto address the different densities of cortical and cerebellar meshes (output of the CMB package, related PR #14130) by setting prior source variances equal to the areas represented by each source.I created draft implementation and tests with Claude Sonnet 5 and then manually refined them.