Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …

Memristors are well suited as artificial nerve synapses owing to its unique memory function.
This paper establishes a novel flux-controlled memristor model using hyperbolic function …

Neural networks are favored by academia and industry because of their diversity of
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …

Memristors have recently demonstrated great promise in constructing memristive neural
networks with complex dynamics. This article proposes a memristive Hopfield neural …

It is believed that local activation is the origin of all complexities, and the locally active
memristive synaptic neural network can generate complex chaotic dynamic behaviors, such …

Activation functions play a crucial in emulating biological neurons within artificial neural
networks. However, the exploration of neural networks composed of various activation …

Due to the synapse-like nonlinearity and memory characteristics, memristor is often used to
construct memristive neural networks with complex dynamical behaviors. However …

Memristors, with their unique nonlinear characteristics, are highly suitable for construction
novel neural models with rich dynamic behaviors. In this paper, a memristor with piecewise …

It has been documented that a cyclic three-neuron-based neural network with resistive
synaptic weights cannot exhibit chaos. Towards this end, a memristive cyclic three-neuron …

With the continuous development of computers, communication technology, and regional
medical collaboration services, the security and confidentiality of information are becoming …