The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …

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 …

Electromagnetic induction plays a vital role in impacting the neuron dynamics, since the
electromagnetic induction is triggered alongside with the complex interaction of membrane …

Heterogeneous coexistence of multiple attractors was exhibited by a two-dimensional (2-D)
non-autonomous model of adaptive synapse neuron with external excitation. Considering …

The field energy in neuron can be changed under shape deformation because of external
energy injection into the media. The electromagnetic field superposition enables energy …

This paper aims to propose a novel no-equilibrium Hindmarsh–Rose (HR) neuron model
with memristive electromagnetic radiation effect. Compared with other memristor-based HR …

Some nonlinear circuits can present similar dynamical properties in the outputs as biological
neurons by taming the external stimulus and bifurcation parameter, and they can be used for …

Memristive neurons and memristive neural networks constructed based on memristors have
important research significance for revealing the mystery of the brain. This paper proposes a …

Biological neurons are capable of encoding a variety of stimuli, and the synaptic plasticity
can be enhanced for activating appropriate firing modes in the neural activities. Artificial …

In this paper, a controllable photosensitive neuron model is designed by incorporating two
phototubes in parallel in the FitzHugh–Nagumo neural circuit. The two phototubes are …