Predicting to Perceive and Learning When to Learn

Published on February 11, 2020

In their insightful piece, Press et al. scrutinize predictive processing theories of perception [1], which hold that perception involves inferences based on prior beliefs and prediction errors: in some cases, priors explain away incoming data, facilitating the processing of surprising events. In other cases, events consistent with priors are afforded extra processing. How can this be?

Read Full Article (External Site)