Backpropagation feels like a pretty gross hack to me anyway. It is a powerful component that still needs a large amount of additional hand-engineering to do more than recognize shapes it has seen before. And it's quite mathematical, which seems kind of difficult to implement in a brain.

Edit: The article and code try to show how backpropagation might work given neuron behavior. I'll leave discussing the quality of the model to biologists.