How to Make a Brain Machine Interface That Uses Pre-Motor Activity

So basically the concept was to make a brain machine interface that uses pre-motor activity. And so you can see this if I tell you where you're going to move, if I give you a target, before I give you the actual cue to begin moving, then you can move faster and more accurately than if I just tell you, you know, pick up that timer. Yeah. So they're both telling you something about what the animal wants to do. How can we optimally combine those two pieces of information to produce like the best result? That led me to these latent variable hidden mark off model based approaches. Let's go to that.