How to generate dense source time courses?

Hi MNE community,

I’m recently training a model that involves using a distributed (dense) dipole model in the source space. Using source_simulator I’m able to produce stc data, but they are sparse. For instance, only a subset of all vertices’ dipoles are non-zero, and the others are not returned by the get_stc() method of source simulators. This is great for reducing computation in sparse cases, but is there a way to always return data of size [num_vertices, time steps] regardless of which dipoles are active?

Thank you so much.

It is not presently possible but it should not be hard to do. You can open an issue on github and maybe give a try to submitting us a pull request?