Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …

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 have been widely and deeply studied in the field of computational
neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics …

Memristor possesses synapse-like properties that can mimic excitation and inhibition
between neurons. This article introduces the Sigmoid functions to the memristor and …

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

Memristive electromagnetic induction effect has been widely explored in bi-neuron network
with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This …

Designing a low-dimensional discrete map to generate chaotic sequence with the properties
of high randomness and without chaos degradation is an attractive but challenging issue …

A discrete memristor is introduced into the Rulkov neuron to mimic biological neuronal
synapse and modify firing dynamics. In the memristive Rulkov neuron, chaotic firing with …

Nowadays, the Internet of Things (IoT) technology has been widely applied in the police
security system. However, with more and more image data that concerns crime scenes …

The activation function, as an important component of artificial neural networks, endows
neural networks with rich dynamical phenomena by virtue of its nonlinear properties …