We present a new neural network model for processing of temporal patterns. This model,
the gamma neural model, is as general as a convolution delay model with arbitrary weight …

… and periodic solution of delayed neural networks. In [30] … neural networks with time delays.
Recently, we also note that a global stability criterion is presented for delayed neural networks …

… with delays has received extensive attention. However, the … -type neural networks with
time-varying delays by defining two … with time delays rather than Hopfield-type neural networks. …

… neural networks with successive time-varying delay components. Generalized neural networks
… , the upper bound of the successive time-varying delays is formulated. By employing a …

… Based on these criteria, several delay-dependent sufficient … time delay. All the given results
in this paper are not only dependent upon the time delay but also upon the number of delay …

… Both the cellular neural networks and Hopfield neural networks with time-varying delays are
… scheme for a class of neural networks with time-varying delays is proposed. Based on the …

… the stability of neural networks. In biological and artificial neural networks, time delays often
… In recent years, the stability of delayed neural networks (DNNs) have been investigated by …

… ) important for the applications of neural networks. On the other hand, time-delays exist in
practical neural networks since it should take some time for input signals to be transmitted …

… In this paper, we deal with delayed continuous-time neural networks described by the
following differential equations with delays(1) d u i (t) d t =−g i (u i (t))+ ∑ j=1 n w ij 0 f j (u j (t))+ ∑ j…

… for dynamical neural systems. Therefore, this research article will examine a class of neural
networks expressed by a mathematical model that involves the discrete time delay terms, the …