This paper investigates the projective synchronization of fractional-order memristor-based
neural networks. Sufficient conditions are derived in the sense of Caputo's fractional …

This paper is concerned with the global exponential stabilization of memristor-based chaotic
neural networks with both time-varying delays and general activation functions. Here, we …

In this paper, we formulate and investigate the impulsive synchronization of memristor based
bidirectional associative memory (BAM) neural networks with time varying delays. Based on …

This paper considers the global asymptotical synchronization of fractional-order memristive
complex-valued neural networks (FOMCVNN), with both parameter uncertainties and …

This paper investigates the stability and lag synchronization for memristor-based fuzzy
Cohen–Grossberg bidirectional associative memory (BAM) neural networks with mixed …

This paper is concerned with the exponential stability and stabilization of memristive neural
networks (MNNs) with delays. First, we present some generalized double-integral …

This paper investigates master–slave exponential synchronization for a class of complex-
valued memristor-based neural networks with time-varying delays via discontinuous …

In this paper, impulsive synchronization of stochastic memristor-based recurrent neural
networks with time delay is studied. One can find that the memristive connection weights …

This paper is concerned with exponential synchronization and anti-synchronization of
memristor-based neural networks. Under the framework of Filippov systems and a linear …

An analysis of the literature shows that there are two types of non-memristive models that
have been widely used in the modeling of so-called “memristive” neural networks. Here, we …