This tutorial reports on the use of nonlinear dynamics in several different models of neural systems. We discuss a number of distinct approaches to neural information processing based on nonlinear dynamics. The models we consider combine controlled chaotic models with phenomenological models of spiking mechanisms as well as using weakly chaotic systems. The recent work of several major researchers in this field is briefly introduced.