Title :
Adaptive chaotic synchronization of Hindmarsh-Rose network with gap-junction
Author :
Li Huiyan ; Wang Jiang ; Jia Chenhui ; Deng Bin ; Wei Xile ; Che Yanqiu ; Qin Yingmei
Author_Institution :
Sch. of Autom. & Electr. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
It is common that a neuron or a network in the tissue or organ of human makes an unusual action which will lead to some illnesses such as depression and epilepsy because some parameters of the neuron are changed or some connections in the network are strengthened, weakened, or lost. So it is important to adjust the ill neuron or network back to normal condition. In this paper, we use model reference adaptive control method to adjust the abnormal parameters in an abnormal network back to normal conditions without considering the structure of the network. Finally, both the behaviors and the abnormal parameters of the abnormal neurons in the network are adjusted to normal conditions.
Keywords :
biological organs; biological tissues; model reference adaptive control systems; neural nets; Hindmarsh-Rose network; adaptive chaotic synchronization; gap-junction; illness; model reference adaptive control method; neuron; organ; tissue; Artificial neural networks; Brain modeling; Diseases; Network topology; Neurons; Synchronization; Topology; Adaptive Control; Chaotic Synchronization; Network with Gap-junction;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768