Predictive Coding

Prof. Orchard describes Predictive Coding networks, which are biologically plausible networks that learn in a manner similar to backprop. 00:00 Introduction 00:36 Biological Plausibility 04:30 Predictive Coding Idea 09:22 Error Nodes, State Nodes 12:45 PC Network 17:40 Error Node Dynamics 20:30 Training Goal 23:30 Joke Break 26:00 Hopfield Function 26:56 State Node Dynamics 32:11 Training a PC Network 35:31 PC and Backprop 39:32 Joke Break 39:47 Updating the Weights 48:16 Testing the PC Network