Hodykin-Huxley 方程, 感知器模型与自适应滤波器, 再到六十年代的自组织映射网络,
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …

In this paper, two related problems, global asymptotic stability (GAS) and global robust
stability (GRS) of neural networks with time delays, are studied. First, GAS of delayed neural …

This research work studies stability problems for more general models of neutral-type neural
systems where both neuron states and the time derivative of neuron states involve multiple …

Robust stability properties of continuous-time dynamical neural networks involving time
delay parameters have been extensively studied, and many sufficient criteria for robust …

Many real-world large-scale complex networks demonstrate a surprising degree of
synchronization. To unravel the underlying mechanics of synchronization in these complex …

This paper derives a new sufficient condition for the exponential stability of the equilibrium
point for delayed neural networks with time varying delays by employing a Lyapunov …

This paper is concerned with the global robust stability of a class of delayed interval
recurrent neural networks which contain time-invariant uncertain parameters whose values …

This Letter presents some new sufficient conditions for the uniqueness and global
asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with …

This paper describes a new global robust stability analysis of bidirectional associative
memory (BAM) neural networks. Under parameter uncertainty, we find a new upper bound …

In this brief, free-weighting matrices are employed to express the relationship between the
terms in the Leibniz-Newton formula; and based on that relationship, a new delay …