Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

We propose a stochastic model for a memristive system by generalizing known approaches
and experimental results. We validate our theoretical model by experiments carried out on a …

Numerous publications on non-volatile memristors made from disparate materials (from
inorganic to organic) share many qualitatively similar memory switching and unique v–i …

Memristor crossbar architecture is one of the most popular circuit configurations due to its
wide range of practical applications. The crossbar architecture can emulate the weighted …

The multidisciplinary field of memristors calls for the necessity for theoretically‐inclined
researchers and experimenters to join forces, merging complementary expertise and …

S-type locally-active memristor (LAM) has a great potential for brain-inspired neuromorphic
computing, where the S-type LAM-based oscillator is a fundamental building block …

This paper introduces a novel bistable nonvolatile locally-active memristor model based on
Chua's unfolding theorem to explore the influence of the local activity on the complexity of …

Pulse coupled neural network (PCNN) is a kind of visual cortex-inspired biological neural
network, which has been proved a powerful candidate in the field of digital image …

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 …

At present, in the new hardware design work of deep learning, memristor as a non-volatile
memory with computing power has become a research hotspot. The weights in the deep …