Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

SleepScoreMaster update: use Power Spectrum Slope #265

Merged
merged 8 commits into from
Oct 30, 2018

Conversation

dlevenstein
Copy link
Collaborator

This is an update to the SleepScoreMaster algorithm for NREM detection - it adds the ability to use the slope of the (log-log) power spectrum (i.e. the 1/f exponent). So far I've found this to be more reliable in non-frontal cortex recordings and with noise, so I made it default (the previous weight method is still also available with SWWeights), but am hoping some people will try it out on their data as well.

Repull #262

@brendonw1
Copy link
Collaborator

Dumb question - I use my own fork. How do I get this pull request into my own fork to try it? Or do I have to use the main fork?

@dlevenstein
Copy link
Collaborator Author

Hm - let's pull it into dev and you can check it there? If you want to try it before pulling, you might be able to open a pull request from my fork

@brendonw1
Copy link
Collaborator

brendonw1 commented Oct 29, 2018 via email

@brendonw1
Copy link
Collaborator

brendonw1 commented Oct 29, 2018 via email

@dlevenstein
Copy link
Collaborator Author

Merging. If we find PSS to be worse than SWWeights after people have tried it out, we can change the default back to SWWeights.

@dlevenstein dlevenstein merged commit 0a74a05 into buzsakilab:dev Oct 30, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants