Circuit or electronic components are useful elements allowing the realization of different
circuit functionalities. The resistor, capacitor and inductor represent the three commonly …

This paper addresses the global stabilization of fractional-order memristor-based neural
networks (FMNNs) with time delay. The voltage threshold type memristor model is …

Resistive random access memory (RRAM), which is considered as one of the most
promising next-generation non-volatile memory (NVM) devices and a representative of …

Cellular nonlinear/neural network (CNN) has been recognized as a powerful massively
parallel architecture capable of solving complex engineering problems by performing …

A mathematical model for the thin-film memristive devices found by Hewlett Packard Labs is
proposed in this brief. By taking the current passing through the device into consideration …

A novel systematic design of associative memory networks is addressed in this paper, by
incorporating both the biological small-world effect and the recently acclaimed memristor …

The memristor is a novel nanostructured resistive tuning two-terminal electronic device that
has been widely explored in the areas of neuromorphic computing systems, memory, digital …

This paper focuses on presenting a new memristor model with a general window function.
Three adjustable parameters are introduced such that it is more flexible. It is seen that …

The memristive devices are getting a lot of interest in recent years due to its applications in
the field of resistive memory and brain-inspired computing. In the present work, we have …

Multilayer cellular neural networks (CNNs) with multiple state variables in each cell
associated with multiple dynamic rules are believed to possess more powerful data …