As the limits of transistor technology are approached, feature size in integrated circuit
transistors has been reduced very near to the minimum physically-realizable channel length …

Artificial neurons can be designed and excited to produce similar smart responses as
biological neurons driven by electromagnetic excitations. The interaction between cell …

Both capacitor and charge-controlled memristor (CCM) can regulate the inner energy levels
during the release and accumulation of charges in these electronic components …

Propagation and exchange of electrical signals between neurons mainly depend on the
controllability of synapses. These electrical signals will affect the dynamic characteristics of …

The high cost, low yield, and low stability of nanomaterials significantly hinder the
application and development of memristors. To promote the application of memristors …

One-layer membrane separates the gradient field in and out of the cell, while some two-layer
membranes filled with excitable media/material are important to regulate the energy flow …

To characterize neuronal firing activities and elucidate its bifurcation mechanisms, a
memristor-based FitzHugh-Nagumo (FHN) circuit is designed based on the FHN circuit …

This article presents a novel charge-controlled memristor emulator circuit. The proposed
memristor emulator utilizes a single Current Follower Transconductance Amplifier (CFTA) as …

In order to enrich the dynamic characteristics of cellular neural network (CNN) and reveal
the influence of memristor nonlinearity on the dynamic behavior of the network, a novel five …

This article proposes a charged controlled emulator model for memristor and memcapacitor
using second-generation Current Conveyor (CCIIs) and Analog Multiplier (AM). The …