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In the recent decade, chaos control of neurons attracts many researchers.Controlling chaos will play a vital role in biological and artificial neural networks.In a network of Hindmarsh-Rose neurons with time-delayed coupling, Dhamala and his co-workers uncovered a phenomenon of enhancement of neural synchrony by time-delay[1].In 2008, by using linear delayed feedback self-control method, Yu and Tong studied the control problems of chaotic dynamical patterns of single Hindmarsh-Rose neuron model[2].With the coupling strength and the time delay taken as the controlling parameters.