The Ising model was almost tailor-made to describe the simple neural network he had in mind. By making one more important assumption about how the artificial neurons were connected to each other (and we’ll come to the details), Hopfield could design a network whose dynamics ensured that storing or retrieving the memory was akin to putting the ensemble of neurons,
