【摘 要】
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In this paper,by using the Hindmarsh–Rose(HR)model,we have studied the effect of time delay on the dynamic behaviors in coupled neural network.It is found that,the neural network may display a rather
【机 构】
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College of Physics and Electronic Information,Anhui Normal University,Wuhu,Anhui 241000,China
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In this paper,by using the Hindmarsh–Rose(HR)model,we have studied the effect of time delay on the dynamic behaviors in coupled neural network.It is found that,the neural network may display a rather rich firing behaviors which including periodic bursting,bursting attenuation,as well as firing patterns transition(FPT)behavior induced by time delay.Then,we found that time delay may aggravate the desynchronization of firing in neural system.Furthermore,we also discussed the effect of coupling strength and randomness shortcuts on the stability of these phenomena.
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