An ANN still resembles major features of an bio-NN.

1. A network

2. Flow of information is mainly unidirectional through a node

3. Multiple inputs, but one output, which is connected to the inputs of other neurons.

4. The connection strength between 2 neurons can be changed.

5. Non-linear behavior.

After all, I think, this is not such a bad first approximation. Hence the picture in the middle.

But I cannot believe that we learn by comparing thousands or millions of input and output patterns and back propagate the error through the network to perform a gradient descent at the neurons. That is simply not, what our brain does.