Neural network technologies have taken center stage owing to their powerful computing
capability for supporting deep learning in artificial intelligence. However, conventional …

This paper deals with the exponential synchronization of coupled stochastic memristor-
based neural networks with probabilistic time-varying delay coupling and time-varying …

Memristor is a nanoscale electronic device that exhibits the synaptic characteristics in
artificial neural network. Some valuable memristor-based synaptic circuits have been …

In this paper, the finite-time synchronization problem for multi-coupling fuzzy cellular neural
networks (FCNNs) with stochastic perturbations and mixed delays is addressed. Compared …

In this article, the problem of the global Mittag-Leffler synchronization is proposed for a sort
of discrete-time fractional-order neural networks (DFNNs) with delays. In the first place, a …

In this paper, an modified FitzHugh–Nagumo (FHN) neural model was employed to
investigate the vibrational resonance (VR) phenomenon, the collective behaviors, and the …

Многовходовые логические элементы на базе двухуровневых логических ячеек MOBILE
характеризуются малым (пикосекундным) временем переключения и более высокой …

In this paper, a new memristor-based chaotic system is designed, analyzed, and
implemented. Multistability, multiple attractors, and complex riddled basins are observed …

Pulse-coupled neural network (PCNN) is inspired from the visual cortex of cats. It is superior
to the traditional algorithm in the field of digital image processing. Meanwhile, memristor is …

Pulse coupled neural network (PCNN) is a kind of visual cortex-inspired biological neural
network, which has been proved a powerful candidate in the field of digital image …