Physical Models Of Neural NetworksThis lecture note volume is mainly about the recent development that connected neural network modeling to the theoretical physics of disordered systems. It gives a detailed account of the (Little ) Hopfield model and its ramifications concerning non orthogonal and hierarchical patterns, short term memory, time sequences, and dynamical learning algorithms. It also offers a brief introduction to computation in layered feed forward networks, trained by