Technically true but also irrelevant. At the physical level, a modern digital transistor based computer running an ANN simulation is also vastly more complex than the node-level ANN model.
In terms of simulation complexity, a modern GPU is actually more complex than the brain. It would take at most on the order of 10^17 op/s second to simulate a brain (10^14 synapses @ 10^3 hz), but it takes more than 10^18 op/s second to simulate a GPU (10^9 transistors @ 10^9 hz).
Simulating a brain at any detail level beyond its actual computational power is pointless for AI - the ANN level is the exactly correct level of abstraction for actual performance.
Technically true but also irrelevant. At the physical level, a modern digital transistor based computer running an ANN simulation is also vastly more complex than the node-level ANN model.
ANN are no neurons. We can't accurately simulate even what a single neuron does. Neurons can express proteins when specific hormones are in their environment. The functioning of roughly a third of the human genome is unknown. Increasing or decreasing the amount of channels for various substances in the cell membrane takes proteins. That's part of long term plasticity.
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