Bifurcation analysis of a heterogeneous mean-field oscillator game model

Author(s):  
Huibing Yin ◽  
Prashant G. Mehta ◽  
Sean P. Meyn ◽  
Uday V. Shanbhag
2016 ◽  
Vol 74 (3) ◽  
pp. 669-692 ◽  
Author(s):  
V. N. Kolokoltsov ◽  
A. Bensoussan

Author(s):  
Rabih Salhab ◽  
Jerome Le Ny ◽  
Roland P. Malhame
Keyword(s):  

2015 ◽  
Vol 7 (1) ◽  
pp. 34-47 ◽  
Author(s):  
V. N. Kolokoltsov ◽  
O. A. Malafeyev

Author(s):  
Huibing Yin ◽  
Prashant G. Mehta ◽  
Sean P. Meyn ◽  
Uday V. Shanbhag
Keyword(s):  

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 568
Author(s):  
Wassim Haddad

In this paper, we analyze the spatiotemporal mean field model developed by Liley et al. in order to advance our understanding of the wide effects of pharmacological agents and anesthetics. Specifically, we use the spatiotemporal mean field model for capturing the electrical activity in the neocortex to computationally study the emergence of α - and γ -band rhythmic activity in the brain. We show that α oscillations in the solutions of the model appear globally across the neocortex, whereas γ oscillations can emerge locally as a result of a bifurcation in the dynamics of the model. We solve the dynamic equations of the model using a finite element solver package and show that our results verify the predictions made by bifurcation analysis.


Sign in / Sign up

Export Citation Format

Share Document