Hopfield Model: Memory and Dynamics

This lecture covers the Hopfield Model, a neural network used for associative memory. It explains the learning of associations, storage capacity, overlap as a measure of similarity, and the dynamics of the model. The instructor discusses the model's rules, interactions, prototypes, and its performance with random and correlated patterns.