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
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;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583109
