how much would it break the current implementation, if we would change the get_parameters routine to keep returning the latent parameters?
And implement something like get_real_parameters or something to asses the real parameter values.
If we would use the latent parameters for some function, we could leverage a lot of the PRF toolboxe's utilities, like automatic thresholding based on the covariance etc., confidence intervals and mapping the (latent) parameters + CIs onto the brain.
It will break BayespRF which will break cpm
of course, we can modify this, but I don't see the need. You have direct access to all latent parameters in PRF.Ep without any function calls
Hi @iChaker,
how much would it break the current implementation, if we would change the
get_parameters
routine to keep returning the latent parameters?And implement something like
get_real_parameters
or something to asses the real parameter values.If we would use the latent parameters for some function, we could leverage a lot of the PRF toolboxe's utilities, like automatic thresholding based on the covariance etc., confidence intervals and mapping the (latent) parameters + CIs onto the brain.
Best Simon