Recently, the dynamical behaviors of coupled neural networks (CNNs) with and without
reaction-diffusion terms have been widely researched due to their successful applications in …

The problem of asynchronous and resilient filtering for discrete-time Markov jump neural
networks subject to extended dissipativity is investigated in this paper. The modes of the …

In this paper, two multiple weighted coupled reaction-diffusion neural networks (CRDNNs)
with and without coupling delays are introduced. On the one hand, some finitetime passivity …

This paper discusses the passivity of delayed reaction–diffusion memristor-based neural
networks (RDMNNs). By exploiting inequality techniques and by constructing appropriate …

In this paper, the issue of synchronization is investigated for coupled neural networks
subject to stochastic deception attacks. Firstly, a general differential inequality with delayed …

The article studies preassigned-time (PAT) and fixed-time (FXT) cluster synchronization of
multi-weighted complex networks (CNs) with stochastic disturbances through designing …

One typical reflection of our understanding on multiagent systems (MASs) is our ability to
design the emergence mechanism responsible for their various cooperative behaviors. This …

This paper respectively studies finite-time passivity of multi-weighted coupled neural
networks (MWCNNs) with and without coupling delays. First, based on those existing …

This paper studies the fixed-time anti-synchronization (FTAS) of discontinuous reaction-
diffusion neural networks (DRDNNs) with both time-varying coefficients and time delay. First …

Finite-time stability of a class of fractional-order complex-valued memristor-based neural
networks with both leakage and time-varying delays is investigated in this paper. By …