Comparison of different numerical integration methods for simulating cellular neural networks

Three popular single step algorithms for solving the system of nonlinear differential equations of cellular neural networks are compared. The typical behaviour of these algorithms is described, example simulations are given and their relative advantages and disadvantages are discussed.<<ETX>>