DocumentCode
527514
Title
Simulation study of time lag in de-synchronization of nerve network
Author
Li, Yan-Long ; Wang, Li-hua
Author_Institution
Sch. of Sci., Lan zhou Univ. of Technol., Lanzhou, China
Volume
2
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
582
Lastpage
585
Abstract
In this paper, we apply those Hindmarsh-Rose(HR) neural networks, which add time-lag. By numerical simulations, based on the same stimulating parameters, we conclude that the network developed into de-synchronization more quickly and easily. Furthermore, we find it exits an optimal stimulation interval as well as other stimulating parameters. Those phenomena are important to guide us to understand the synchronization of real neural networks.
Keywords
neural nets; neurophysiology; Hindmarsh-Rose neural networks; nerve network desynchronization; optimal stimulation interval; real neural networks; simulation study; time lag; Brain modeling; Couplings; Epilepsy; Frequency synchronization; Neurons; Synchronization; Time frequency analysis; De-synchronization; Epilepsy; HR model; Vagus nerve Stimulation (VNS); time-lag;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583109
Filename
5583109
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