I’ve brought this up with Jeff briefly on another thread. The way he suggested it might work (and the route that I am exploring in my own tests) is that when a motor prediction receives both apical and distal input, it activates. I have been referring to this algorithm as Temporal Unfolding.
I’m planning to post another thread about this with my current work, but there are also some older threads on here where we have talked about it, such as here. Incidentally, I also did a project with my son a while back called Reverse Simon (or as he called it, “Simon Press Button HTM Edition!”) where we explored a (far simpler) version of unfolding predictions into actions.
You may come across references to a project on the forum here we called “Dad’s song”, where where we (myself, Bitking, gmirey, sebjwallace,and a few others) were exploring this. That particular project was a bit overly ambitious at the time, but I do feel like I have progressed quite a bit since then, so hopefully it will be achievable in the future. It is still a good goal to work toward IMO.