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

Finding the variance explained for # of dimensions #163

Closed
woohyunk1104 opened this issue Jul 4, 2023 · 4 comments
Closed

Finding the variance explained for # of dimensions #163

woohyunk1104 opened this issue Jul 4, 2023 · 4 comments

Comments

@woohyunk1104
Copy link

Hi, I am trying to fit my neural data to rSLDS framework. In order to chose a reasonable number of states and dimensions, I would like to calculate the variance explained for different # of continuous dimensions (similar to Figure S1D in your Cell paper on approximate line attractor in the hypothalamus encoding aggressive behavior (Nair et al., 2023)). Could you please help me out on how I can implement this?

@nizheyi
Copy link

nizheyi commented Nov 10, 2023

Hi, I am trying to fit my neural data to rSLDS framework. In order to chose a reasonable number of states and dimensions, I would like to calculate the variance explained for different # of continuous dimensions (similar to Figure S1D in your Cell paper on approximate line attractor in the hypothalamus encoding aggressive behavior (Nair et al., 2023)). Could you please help me out on how I can implement this?

I also have the same question...Have you figured it out?

@juliagorman
Copy link

Hi did either of you end up solving this? I have the same question

@slinderman
Copy link
Collaborator

Duplicate of #159.

@slinderman
Copy link
Collaborator

Please see the response here #159 (comment) !

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

No branches or pull requests

4 participants