Knowing little about neuroscience outside of biology class, I've always wondered why neurons would be so simple as to just compute weighted sums and thresholds. I mean there are unicellular creatures that can do incredibly complex things, and neurons, as all cells, are ultimately the descendants of such unicellular organisms, "teamed up" into a multi-cellular creature. They have a lot of internal structure, organelle…
Plus, the sum and threshold model actually gets you pretty far, as evidenced by artificial neural networks, so there might be some resistance to adding complexity that might not be necessary.
Edit: Google "dendritic computation" if you want to dig deeper.