Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks

An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI. It delves into the known neural architecture of the mammalian brain to illuminate the structure of predictive networks and determine more precisely how the ability to predict might have evolved from more primitive neural circuits.