Elements of applied bifurcation theory (2nd ed.)
Elements of applied bifurcation theory (2nd ed.)
Synchronization and desynchronization of neural oscillators
Neural Networks
Convergence and periodicity of solutions for a discrete-time network model of two neurons
Mathematical and Computer Modelling: An International Journal
Stability analysis of discrete-time recurrent neural networks with stochastic delay
IEEE Transactions on Neural Networks
Dynamics of a discrete-time bidirectional ring of neurons with delay
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Hi-index | 7.29 |
Using techniques developed by Kuznetsov to discrete-time systems, we study the stability of the equilibrium (0, 0) and Neimark-Sacker bifurcation (also called Hopf bifurcation for map) of a discrete-time neural network system. The obtained results are less restrictive and improve upon the existing ones on Neimark-Sacker bifurcation of discrete-time neural network with special classes of transfer functions. The theoretical analyses are verified by numerical simulations. Our results have potential applications in neural networks.