Predictive coding has been unified with backpropagation
EDIT: Before you read my comment below, please see <a href="https://news.ycombinator.com/item?id=26702815" rel="nofollow">https://news.ycombinator.com/item?id=26702815</a> and <a href="https://openreview.net/forum?id=PdauS7wZBfC" rel="nofollow">https://openreview.net/forum?id=PdauS7wZBfC</a> for a different view.<p>--<p>If the results hold, they seem significant enough to me that I'd go as far as saying the authors of the paper would end up getting an important award at some point, not just for <i>unifying the fields of biological and artificial intelligence</i>, but also for making it trivial to train models in a fully distributed manner, with <i>all learning done locally</i> -- if the results hold.<p>Here's the paper: "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"<p><a href="https://arxiv.org/abs/2006.04182" rel="nofollow">https://arxiv.org/abs/2006.04182</a><p>I'm making my way through it right now.