Dynamical Analysis of Competitive Neural Systems With Hybrid Time Scales and Distributed Delays

This paper studies a class of competitive neural systems with hybrid time scales and distributed delays. Without assuming the active functions to be differentiable and bounded, we prove the existence and uniqueness of the equilibrium, and derive a sufficient condition to ensure the global asymptotic stability of the neural systems. Finally, one numerical example and the computational simulations are given to illustrate the results.

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