Memristors show great potential for being integrated into CMOS technology and provide
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …

The emergence of artificial intelligence has represented great potential in solving a wide
range of complex problems. However, traditional general-purpose chips based on von …

A nonlinear system, exhibiting a unique asymptotic behaviour, while being continuously
subject to a stimulus from a certain class, is said to suffer from fading memory. This …

Memristive devices are the subject of extensive studies nowadays. While the Dynamic Route
Map is a powerful tool for analyzing the response of first-order memristors under DC stimuli …

This paper presents an analytical investigation of the transient and steady-state response of
non-volatile memristors to high frequency periodic inputs, using as a case study a-based …

In this paper, we present a new compact model of threshold switching devices which is
suitable for efficient circuit-level simulations. First, a macro model, based on a compact …

We present simulation results of a deep cellular neural network leveraging memristive
dynamics to classify and segment images from commonly examined datasets. We have …

Neuromorphic devices play a significant role in exploiting the dynamical analogy between
various physical circuits and neuronal systems. Mott memristive systems made from …

Stable diffusion models mark a pivotal shift in image generation algorithms, currently leading
with outstanding performance. These models, rooted in diffusion principles, leverage neural …

In this work, we present a compact memristor model for bipolar neuromorphic ReRAM
devices. The proposed model focuses on a behavioural high level description of the device …