476 template matching #482
Merged
Conversation
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
Codecov Report✅ All modified and coverable lines are covered by tests.
🚀 New features to boost your workflow:
|
sjvenditto
requested changes
Aug 6, 2025
sjvenditto
reviewed
Aug 8, 2025
There was a problem hiding this comment.
I have a few last docs and grammar suggestions. Also, do you think we should rename the calcium imaging tutorial? Right now it's "Computing calcium imaging tuning curves". We could make it more broad like "Analyzing calcium imaging data", similar to the head direction one
Co-authored-by: Sarah Jo Venditto <[email protected]>
Co-authored-by: Sarah Jo Venditto <[email protected]>
Co-authored-by: Sarah Jo Venditto <[email protected]>
Co-authored-by: Sarah Jo Venditto <[email protected]>
Co-authored-by: Sarah Jo Venditto <[email protected]>
gviejo
approved these changes
Aug 20, 2025
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 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Outdated suggestions cannot be applied.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.
This implements
decode_template, as a counterpart todecode_bayes.The template matching algorithm considers the tuning curves as population vector templates for every feature bin.
To decode, we compute the distance to all feature bin population vectors, normalize between 0 and 1 to get a distribution, and we return the highest one as the decoded bin.