I was reading a paper on alternatives to backpropagation as a learning algorithm in neural networks. In this paper, the author talks about the disadvantages of backpropagation, and one of the disadvantages stated is that backpropagation requires symmetric weights and that's why it's not biologically plausible.
What do symmetric weights mean and how does it make backpropagation biologically implausible?