Neural networks chips aren't neurons. Neurons are much more complex than nodes in artificial neural networks.
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.
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
Notes for future OT posters:
1. Please add the 'open_thread' tag.
2. Check if there is an active Open Thread before posting a new one. (Immediately before; refresh the list-of-threads page before posting.)
3. Open Threads should be posted in Discussion, and not Main.
4. Open Threads should start on Monday, and end on Sunday.