Iterated Crank–Nicolson Runge–Kutta Methods and Their Applic…

Emerging


0
Citations
24
Refs
2024
Year
Search Works
Work Details
  • DOI 10.3390/foundations4040042
  • OpenAlex ID W4404321871
  • Type Article
  • Language EN
  • Published 13 Nov 2024
  • Volume 4 (4)
  • Pages 673–689
  • Source Foundations
  • Countries 1
  • Institutions 1
  • Added 14 Nov 2024
  • Updated 30 Oct 2026
MENU
0

Iterated Crank–Nicolson Runge–Kutta Methods and Their Application to Wilson–Cowan Equations and Electroencephalography Simulations

Article 2024 EN Gold

The Wilson–Cowan model has been widely applied for the simulation of electroencephalography (EEG) waves associated with neural activities in the brain. The Runge–Kutta (RK) method is commonly used to numerically solve the Wilson–Cowan equations. In this paper, we focus on enhancing the accuracy of the numerical method by proposing a strategy to construct a class of fourth-order RK methods using a…

0

Citations

24

References

4

Authors

0.00

FWCI

Topics
Keywords
Authors & Affiliations
4 authors
#AuthorInstitutionsORCID
1 Jinjie Liu Corresponding Delaware State University (US)
2 Qi Lu Delaware State University (US)
3 Hacène Boukari Delaware State University (US) —
4 Fatima Boukari Delaware State University (US)

Data: OpenAlex