Entrainment of Weakly Coupled Canonical Oscillators with Applications in Gradient Frequency Neural Networks Using Approximating Analytical Methods

Entrainment of Weakly Coupled Canonical Oscillators with Applications in Gradient Frequency Neural Networks Using Approximating Analytical Methods

Solving phase equations for systems with high degrees of nonlinearities is cumbersome. However, in the case of two coupled canonical oscillators, that is, a reduced model of translated Wilson–Cowan neuronal dynamics, under slowly varying amplitude and rotating wave approximations, we suggested a con...

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Bibliographic Details
Main Authors: AmirAli Farokhniaee, Felix V. Almonte, Susanne Yelin, Edward W. Large
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Mathematics
Subjects:
dynamical systems
nonlinear phenomena
nonlinear differential equations
approximate analytical solutions
neuronal population dynamics
gradient frequency neural networks
Online Access:https://www.mdpi.com/2227-7390/8/8/1312

Internet

https://www.mdpi.com/2227-7390/8/8/1312

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