Attractor Networks: Hopfield Model Generalizations

This lecture covers attractor networks and generalizations of the Hopfield model in computational neuroscience. Topics include stochastic Hopfield model, energy landscape, low-activity patterns, spiking neurons, memory retrieval, and dynamics convergence to fixed points.