Title :
Analysis of synchronization and stability of FHN models
Author :
Li, Li ; Wang, Jiang
Author_Institution :
Sch. of Electr. & Autom. Eng., Tianjin Univ.
Abstract :
Through studying the synchronization and the stability of two identical FHN models coupled by gap-junction, and using nonlinear dynamic system theory, this paper investigates the impact of different parameter on the models, which is achieved through MATLAB emulation. It turns out that the change of the coupled parameter will bring a change of the whole models´ state, which helps search the acting rules of the brain cells, and confer the reason of some diseases
Keywords :
neurophysiology; nonlinear dynamical systems; physiological models; synchronisation; FHN models; gap junction; nonlinear dynamic system theory; stability analysis; synchronization analysis; Automation; Brain cells; Brain modeling; Couplings; Diseases; Intelligent control; MATLAB; Mathematical model; Nonlinear dynamical systems; Stability analysis; FHN models; nerve; stability; synchronization;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713820
