Ridiculous. Large-scale neuron simulations currently are like an algorithms assignment where I have some code written but don't understand the algorithm so I ju

Ridiculous. Large-scale neuron simulations currently are like an algorithms assignment where I have some code written but don't understand the algorithm so I just tweak things all night and never get anywhere. In other words: "let's hope it does something interesting by just connecting millions of these things that we can kind of describe but don't understand at all." We are VERY far from understanding the brain. Even for single neurons, we do not understand what is important and what we should ignore. We do not understand real-life neural networks at all. For example, we have the entire neuronal connectivity map for C elegans (only 302 neurons), the worm's genetic structure, and more -- and we still don't understand how its nervous system works, and we can't even simulate it. This is a problem with this field -- why in the heck are we trying to simulate human and cat brains -- perhaps the most complex of them all -- when we can't even simulate a simple worm?? What ever happened to the idea of starting simple then working our way up?? I am always shocked when I look on the shelves at the bookstore and see lots of books titled "How the brain works" -- when we actually understand so little.