Chaotic Synchronization and Application of Neuron Models with Different Structures.

In order to solve the chaotic synchronization problem of two neuron models with different structures, the dynamical behaviours of Fitzhugh-Nagumo (FHN) neurons and Morris-Lecar (ML) neurons are studied respectively. Based on Lyapunov tability theory, a controller is designed by using the method of projection synchronization, and the chaotic synchronization of wo neuron models with different structures is realized by the controller. The neural synchronization system is applied to chaotic secure communication, and the simulation results verifies its effectiveness and reliability in secure communication. [ABSTRACT FROM AUTHOR]