Hierarchical Predictive Coding Models in a Deep-Learning Framework

Understand

Bayesian predictive coding is a putative neuromorphic method for acquiring higher-level neural representations to account for sensory input.

• Although originating in the neuroscience community, there are also efforts in the machine learning community to study these models.
• This paper reviews some of the more well known models.
• Our review analyzes module connectivity and patterns of information transfer, seeking to find general principles used across the models.