Since the early 2000s, the impending end of Moore's scaling, as the physical limits to
shrinking transistors have been approached, has fueled interest in improving the …

This study investigates a novel chaotic memristive cellular neural network (CNN) and its
synchronization. Firstly, a fourth-order chaotic system with a memristor is established by …

Local activity is the capability of a system to amplify infinitesimal fluctuations in energy.
Complex phenomena, including the generation of action potentials in neuronal axon …

We present and experimentally validate two minimal compact memristive models for spiking
neuronal signal generation using commercially available low-cost components. The first …

Locally-active memristors blessed with an edge-of-chaos domain, which can be destabilized
for generating action potentials, are natural candidates for emulating biological neurons …

This paper presents a circuit-theoretic analysis of a NbO 2-Mott memristor fabricated at
Hewlett-Packard Labs. It investigates mechanisms behind the origin of complexity based on …

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

As established by the second law of thermodynamics, an isolated system is unable to exhibit
complex behaviours. Conversely, a physical system, which interacts with the surrounding …

This manuscript provides a comprehensive tutorial on the operating principles of a bio-
inspired Cellular Nonlinear Network, leveraging the local activity of NbO x memristors to …

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 …