Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons
Multistable neural networks have attracted much interesting in recent years, since the monostable networks are computationally restricted. This paper studies a class of discrete-time two-neurons networks with unsaturating piecewise linear activation functions. Some interesting results for the convergence and the periodicity of solutions of the system are obtained.
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