DocumentCode
550425
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
fYear
2011
fDate
22-24 July 2011
Firstpage
5646
Lastpage
5649
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000763
Link To Document