Well, not really. They are neither nodes only in a ML algorithm but neither are they complete processors. They are somewhere in between where they can do some limited “signal processing” (eg. throttle signal frequency, negate it, and have some form of primitive memory even), but they are likely not Turing complex in themselves.
Would they need to be Turing complete? Seems to me they operate on a completely different principle.
Anyways my statement was analogical -- and as we know analogies are merely tools for extending thinking from one paradigm to another. Best not to take it TOO literally.
