Title :
Synchronic analysis in a neural network based on FitzHugh-Nagumo equations with time delay
Author :
Shurui Qin ; Yuanhua Qiao ; Miaob, J. ; Duane, L.
Author_Institution :
Coll. of Appl. Sci., Beijing Univ. of Technol., Beijing, China
Abstract :
The dynamics of a neuronal network often involves time delay due to the finite signal propagation speed in biological networks. In this paper, we make some analysis on the FitzHugh-Nagumo model with coupling delay and then investigate its synchronization phenomenon, the conditions that the model synchronizes are given.
Keywords :
brain models; delays; neural nets; nonlinear dynamical systems; synchronisation; FitzHugh-Nagumo equations; FitzHugh-Nagumo model; biological networks; coupling delay; finite signal propagation speed; neuronal network dynamics; synchronic analysis; synchronization phenomenon; time delay; Biological neural networks; Delay effects; Delays; Equations; Mathematical model; Neurons; Synchronization; FitzHugh-Nagumo model; neural network; synchronization; time delay;
Conference_Titel :
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2970-5
DOI :
10.1109/ICCME.2013.6548227
