Abstract:In this paper, a nonlinear method is used for the chaotic control of a single H-R neuronal model. The nonlinear time delay feedback function is added to the right hand side of the first differential equation of equations of a single Hindmarsh-Rose(H-R) neuron model. Gain factor and time-delay are taken as control parameters. Through the numerical calculations and analyses, a certain range of the combination of gain factor and time-delay is found, in which, the chaotic burst pattern of inter-spike interval sequences of H-R neuron can be controlled onto a spikes-period pattern or a multi-period of these patterns automatically. The main periodic patterns of H-R neuron are patterns of the spike-period, double spikes-period, 3 spikes-period, 4 spikes-period and 6 spikes-period and their multi-period pattern. The bifurcation diagrams of the chaotic neuron under control are provided. Choice of delay does not depend and rely on the period of unstable periodic orbits embedded within the chaotic attractor. The chaotic burst orbit will be controlled onto the certain type of periodic patterns of inter-spike interval automatically, to achieve the purposes of information identification.