Abolitionist:"Seems likely that they are just complicated
on/off switches" - this is distinct from saying that they are digital -
in fact, I think we're on the same page here.
Saying something is an on/off switch is
exactly the same thing
as saying it's digital. It doesn't matter if it's a two state, four
state, twenty state or million state switch. The mere fact it has
discrete, quantizable states means it's digital but, let it stand. You
get my point.
Please note that just because I'm saying a neuron isn't digital
doesn't mean I'm saying a neuron isn't a formalizable machine. It is.
It's a machine whose behavior we will one day duplicate.
What are the essential details?
Understanding and duplicating the information processing and
communication rules that neurons follow. Those are the details that
matter.
There are many different types of neurotransmitters sorted into
three general categories. Neurotransmitters, as you probably know, are
the chemicals that relay, modulate, diminish or amplify signals between
neurons or neurons and other cells.
Already at this point we've departed from the switch concept because
the signals can change in strength, speed and pattern continously
depending on how much of a particular type of neurotransmitter is
suffusing the synaptic gap between neurons. These changes are not
discrete nor digital.
Neurons are also bathed in cerbrospinal fluid which soaks them in
hormones and other chemicals that change their processing and
communication behavior outside the vector of neurotransmitters.
We need to learn more about how neurons react to these two
communications paths. How do they they process the signals they
recieve? What are the protocols, the rules they follow? Can we model this in software and hardware?
Things that aren't essential:
- Internalized cell reproduction machinery (Since we are
manufacturing these synthetic neurons externally they don't need their
own reproductive apparatus.)
- Cell defense machinary. (Disease fighting may not be necessary.)
- Cell differentiation machinary. (We don't need synthetic neurons to have the potential to turn into bone, blood or fat cells.)
- Communication vectors that have nothing to do with brain activity
- Others I can't think of
Computational neurology gets better and better at modeling these
behaviors. Currently it takes our most powerful supercomputers to model
cortical columns (collections of 80 to 100 neurons) to a high degree of
accuracy.
But that level of accuracy may not even be necessary if all we're
concerned with is communication and processing. We may be able to
optimize the simulations, while still capturing the facets we want, so
they are much less computationally intensive. We may discover higher
level behaviors that can be modeled in other ways rather than requiring
the duplication of individual neurons at a lower level in the cortical
column system. We may find shortcuts.
Also machines get steadily more powerful. Today Blue Brain requires
IBM's big iron. Ten years from now, it may fit within your mobile phone.
One way or another we'll eventually figure this out. It took blind
evolution
billions of years to develop neurons in the phylum of
Cnidaria (Anemones, sea jellies, etc.). We've been at this, what? 500
years? Seems to me we're getting pretty good at it.