But reverse-engineering something that is the product of almost 4 billion years of evolution, that has been tweaked and finessed in complex and incomprehensible ways, and that is dependent on activity at a sub-cellular level, by hacking it apart and taking pictures of it? Total bollocks.
I agree with the last sentence.
While it is possible that key features aspects of intelligence can't be modeled without an extremely low level of detail of brain function, it's also possible that many of those details are not needed. I think it's likely. My guess is that if neurons were so chaotically fiddly on a functional level, we wouldn't work at all in the first place.
My hypothesis is that there are a finite number of classes of neurons, glial cells, and classes of synaptic junctions, that bound closely into certain behavioral groupings. In which case, you need only prod enough neurons in petri dishes to develop good statistical models of each type of neuron, glia, and synapse you're modelling. I suspect, but can't prove right now, that only the broad probabilistic behavior of each functional element would be meaningful on the scales we care about.
The reason I believe that is exactly what you said -- it's too noisy. ...
From: http://freethoughtblogs.com/pharyngula/2012/07/14/and-everyone-gets-a-robot-pony/