I'm a CS major and I was talking to my Machine Learning teacher when suddenly it dawned on me that she never mentioned neural networks a lot in class. I asked her why this was seeing as it should be the basis of learning and she told me the fundamental unit of the neural network is the perceptron, which was theorized to be a model of how the actual neuron fires. Research has shown however that neurons do not work like the perceptron in the least and are more complicated.
Can anyone point me to research on how the neuron actually works?
And given this, doesn't this show we have a much longer ways to go before we get to the SAI?