The cerebellum sits in the middle of the action, always saying to itself “what signal is about to appear here?”, and then it preemptively sends it. And then a fraction of a second later, it sees whether its prediction was correct, and updates its models if it wasn’t.
How does this cope with feedback loops?
Or is the implicit assumption here that the prediction lookahead is always less than the minimum feedback time delay? (If so, how does it know that?)
I’ve been assuming the latter… Seems to me that there’s enough latency in the whole system that it can be usefully reduced somewhat without any risk of reducing it below zero and thus causing instability etc.
I can imagine different signals being hardwired to different time-intervals (possibly as a function of age).
I can also imagine the interval starts low, and creeps up, millisecond by millisecond over the weeks, as long as the predictions keep being accurate, and conversely creeps down when the predictions are inaccurate. (I think that would work in principle, right?)
That’s all just idle speculation. I can’t immediately think of cerebellum-specific information that would shed light on this. It’s a good question :)
How does this cope with feedback loops?
Or is the implicit assumption here that the prediction lookahead is always less than the minimum feedback time delay? (If so, how does it know that?)
I’ve been assuming the latter… Seems to me that there’s enough latency in the whole system that it can be usefully reduced somewhat without any risk of reducing it below zero and thus causing instability etc.
I can imagine different signals being hardwired to different time-intervals (possibly as a function of age).
I can also imagine the interval starts low, and creeps up, millisecond by millisecond over the weeks, as long as the predictions keep being accurate, and conversely creeps down when the predictions are inaccurate. (I think that would work in principle, right?)
That’s all just idle speculation. I can’t immediately think of cerebellum-specific information that would shed light on this. It’s a good question :)