"correlated dP/dt changes in inputs"

Do you mean the following?

"dP/dt(max) is *the maximal rate of rise of (usually) left ventricular 
pressure* (LVP), but it is determined by myocardial contractility and the 
loading conditions on the ventricle, thus it is an imperfect and sometimes 
incorrect predictor of the inotropic state (myocardial contractility)."

"here is simply NO WAY of doing this sort of computation with snapshots UNLESS 
they are VERY close together in time - like <<0.1 seconds."

Do yo mean long dependency over sparse data like vision and sound? A text AI 
can, if you give it the ability to use pattern delay, so that w a l k i n g is 
matched as walking, it begins to discard error and see it as walking, and 
begins to catch on and look at every other letter.
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