Speaking of neurons and simplicity, I think it's interesting that some of the "how much cpu power needed to replicate brain function" arguments use the basic ANN model, assuming a MULADD per synapse, updating at say 100 times per second (giving a total computing power of about 10^16 OPS). But the people actually trying "brain replication" (I am thinking of the Blue Brain cortical column project) simulate 30 million synapses on a 22 TF computer, four orders of magnitude higher (~1M op/sec/synapse vs 100). Markram is certainly a rabid optimist in terms of how far this work will go and how fast, so I don't think he's just throwing cycles away for no reason. Assuming their neuron model turns out to be adequate, I wonder how far it can be squeezed down.
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