Predictive Coding Networks and Inference Learning: Tutorial and Survey

Understand

Recent years have witnessed a growing call for renewed emphasis on neuroscience-inspired approaches in artificial intelligence research, under the banner of NeuroAI.

• A prime example of this is predictive coding networks (PCNs), based on the neuroscientific framework of predictive coding.
• This framework views the brain as a hierarchical Bayesian inference model that minimizes prediction errors through feedback connections.
• Unlike traditional neural networks trained with backpropagation (BP), PCNs utilize inference learning (IL), a more biologically plausible algorithm that explains patterns of neural activity that BP cannot.