Navigating Predictive Coding and Active Inference

This chapter delves into the intricacies of predictive coding and active inference, emphasizing hierarchical structures and the role of generative models. The discussion covers recognition models, the Helmholtz machine, and the implications of Bayesian brain hypotheses on neural processing. Additionally, it highlights prediction errors, asynchronous updates in neuronal activity, and their philosophical implications in understanding perception and cognition.