Desynchronization of Morris: Lecar Network via Robust Adaptive Artificial Neural Network

This paper has presented a robust adaptive artificial neural network (ANN) method to desynchronize a network composed of Morris–Lecar (M–L) neuron model. During the whole process of desynchronizing the network, the robust adaptive controllers play the roles of synchronizing a selected neuron in the network and a reference neuron, and desynchronizing the network with desired phase differences generated by constructing the difference between the output curve of the reference neuron and the shifted output curve of the reference neuron with desired phase difference. The method is robust and can be applied in Deep Brain Stimulation (DBS) therapies.