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lindermanlab / ssm

Bayesian learning and inference for state space models
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Finding the variance explained for # of dimensions #163

Closed woohyunk1104 closed 1 month ago

woohyunk1104 commented 1 year ago

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 commented 7 months ago

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 commented 1 month ago

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

slinderman commented 1 month ago

Duplicate of https://github.com/lindermanlab/ssm/issues/159.

slinderman commented 1 month ago

Please see the response here https://github.com/lindermanlab/ssm/issues/159#issuecomment-2110418915 !