Although typically assumed to degrade performance, random fluctuations, or noise, can
sometimes improve information processing in non-linear systems. One such form …

Physicists are very familiar with forced and parametric resonance, but usually not with self-
oscillation, a property of certain dynamical systems that gives rise to a great variety of …

It has been extensively studied to employ memristors to model the relationship between the
electromagnetic field and the membrane potential, especially for the research of modeling …

This paper presents and studies the dynamics of a single neuron, followed by the network of
an improved FitzHugh-Nagumo model with memristive autapse. The investigation on the …

In a normal human life span, the heart beats about 2–3 billion times. Under diseased
conditions, a heart may lose its normal rhythm and degenerate suddenly into much faster …

Real brains exist with neural networks consisting of heterogeneous neuronal connections.
However, there have been many studies on memristive homogeneous neural networks and …

Cognitive function relies on a dynamic, context-sensitive balance between functional
integration and segregation in the brain. Previous work has proposed that this balance is …

In this paper, bidirectional-coupled neurons through an asymmetric electrical synapse are
investigated. These coupled neurons involve 2D Hindmarsh–Rose (HR) and 2D FitzHugh …

This contribution introduced and investigated an improved photosensitive memristive
FitzHugh–Nagumo (FHN) neural circuit. The mathematical equations of the model have …

The memristor is a nonlinear electronic nanodevice with incredible biomimetic
characteristics generally used by neurologists, more specifically in neuromorphics, to design …