(Non-)Convergence Results for Predictive Coding Networks

Simon Frieder, Thomas Lukasiewicz

Abstract: Predictive coding networks (PCNs) are (un)supervised learning models, coming from neuroscience, that approximate how the brain works. One major open problem around PCNs is their convergence behavio...