You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Instead of starting with an adjacency matrix, build MulticompartmentSystem on a tree data structure (potentially AbstractTrees.jl interface). It will be more robust for equation building, and it should eliminate the need to depend on parent references directly in CompartmentSystem.
Later, during lowering, we will likely transform to an adjacency matrix for PDE Cable equation modeling. Again, having a tree to start from will make this easier since a Hines matrix is a depth first search on a dendritic tree.
The text was updated successfully, but these errors were encountered:
I tried this but ran into issues with updating tree structures. Specifically, when adding postsynaptic conductances, you wind up breaking pointers to child branches. It might be solved with a more sophisticated/clever implementation, but for now its not worth the added effort.
Instead of starting with an adjacency matrix, build
MulticompartmentSystem
on a tree data structure (potentially AbstractTrees.jl interface). It will be more robust for equation building, and it should eliminate the need to depend on parent references directly inCompartmentSystem
.Later, during lowering, we will likely transform to an adjacency matrix for PDE Cable equation modeling. Again, having a tree to start from will make this easier since a Hines matrix is a depth first search on a dendritic tree.
The text was updated successfully, but these errors were encountered: