Stochastic Hopfield model

This lecture covers the Stochastic Hopfield model, focusing on noisy neurons and their impact on attractor dynamics. It delves into prototype interactions, firing probabilities, memory retrieval, and the overlap equations in attractor networks. The instructor discusses the implications of stochastic dynamics for memory retrieval and the importance of checking overlap with other patterns.