at the neighbors and then passes it to some function that computes the new value for the next time step let's say of the the center or the central grid cell so it's a completion like operation except that you know it's maybe nonlinear so so what they did was train accomplish on that with a few layers and they it you use this it uses this unit architecture so we can take a fairly large context into account not just the neighboring cells but sort of a bigger neighborhood rather big grid cells and it's trained to produce the result that