My guess is this would be really underconstrained, maybe even if you had a ridiculous amount of data. The output you produce at some moment is a function of all past inputs. Brain state at that moment screens off past inputs, but then you’re trying to infer state at that moment with one piece of data, which is different from states at different moments.
My guess is this would be really underconstrained, maybe even if you had a ridiculous amount of data. The output you produce at some moment is a function of all past inputs. Brain state at that moment screens off past inputs, but then you’re trying to infer state at that moment with one piece of data, which is different from states at different moments.